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General Information

Conference Scope

Since its inception in 1998, ANTS has been a highly selective, single-track meeting that provided a forum for discussing advances in the field of swarm intelligence. It solicits submissions presenting significant, original research from researchers and practitioners of any area related to swarm intelligence.

Swarm intelligence is an interdisciplinary and rapidly evolving field, rooted in the study of self-organizing processes in both natural and artificial systems. Researchers from disciplines ranging from ethology to statistical physics have developed models that explain collective phenomena, such as decision-making in social insect colonies and collective movements in human crowds. Swarm-inspired algorithms and methods have proven effective in solving complex optimization problems and creating multi-robot and networked systems of unparalleled resilience, adaptability and scalability. Applications of swarm intelligence continue to grow and become increasingly critical for addressing societal challenges such as environmental sustainability, food security, health, and global conflicts.

The 2026 edition’s theme is "reaching beyond - swarm intelligence across systems, disciplines, and communities". The conference seeks to encourage new perspectives, help bridge traditional boundaries and enable open debate on what could be ambitious, exploratory, and groundbreaking endeavors to embark on.

Relevant Research Areas

Papers are solicited in all areas of swarm intelligence, including, but not limited to:
  • Theoretical foundations of swarm intelligence and collective phenomena
  • Modeling and analysis of self-organizing systems in nature, including many-particle systems, cellular systems, insect colonies, bird flocks, and human crowds
  • Decision making in large groups e.g. consensus dynamics, mean-field games, social choice theory
  • Swarm robotics, including colloidal systems, micro-robots, drones, and other autonomous vehicles
  • Swarm optimization algorithms, including ACO, PSO, ABC
  • LLMs and GenAI-in-the-loop systems in combination with swarm intelligence
  • Large-scale distributed networks, such as smart dust, smart cities, or social networks
  • Robotic materials and modular robots capable of self-repair, self-assembly or shape-shifting
  • Distributed learning, coordination, and control in many-agent systems
  • Human-centered swarm intelligence and human-swarm interaction
  • Sustainable technologies for artificial and bio-hybrid swarms
  • Creative and expressive uses of swarm principles in art, design and education
  • Benchmarking and reproducibility in swarm intelligence research
  • Ethical and societal implications of applications of swarm intelligence research
  • Applications of swarm intelligence to real-world challenges

Important Dates

  • Submission deadline: November 10, 2025, 23:59:59 (AoE)
  • Extended submission deadline: November 20, 2025, 23:59:59 (AoE)
  • Notification of acceptance: January 30, 2026
  • Camera ready copy: February 13, 2026, 23:59:59 (AoE)
  • Conference: June 8-10, 2026
  • Registration is now open!
Call for Papers

The Proceedings are published by Springer-Nature in their Lecture Notes in Computer Science LNCS series.


The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2026 that will contain extended versions of selected research works presented at the conference.

All accepted submissions will be listed here!

Full papers

  • A fast distributed algo. for breakage detection in modular robots
    Ikrame Yazidi, Lucas Berthome, Morvan Ouisse and Benoît Piranda
  • A micro-macro model of encounter-driven information diffusion in robot swarms
    Davis S. Catherman and Carlo Pinciroli
  • A social interaction model for forager task allocation in honey bees
    Atakan Botasun, Babür Erdem, Elvin Gültekinoğlu, Ali Emre Turgut and Erol Şahin
  • AID: agent intent from diffusion for multi-agent informative path planning
    Jeric Lew, Yuhong Cao, Derek Ming Siang Tan and Guillaume Sartoretti
  • Bigraphical model checking for drone swarm coordination in vertiports
    Dominik Grzelak, Tianxiong Zhang and Uwe Aßmann
  • Closing the loop between BEECLUST and honeybee thermotaxis
    Martin Stefanec, Alexander Herlitz, Daniel Reisinger, Johannes Diebold, Daniel Nicolas Hofstadler, Anna Reichenpfader, Laurenz Alexander Fedotoff, Farshad Arvin, Ronald Thenius and Thomas Schmickl
  • Convergence and running time of time-dependent ant colony algorithms
    Bodo Manthey, Jesse van Rhijn, Ashkan Safari and Tjark Vredeveld
  • Decoding spatial and temporal influence in collective behavior using information theory
    Udoy Basak, Sulimon Sattari, Iacopo Hachen, Iain Couzin and Liang Li
  • Distributed MPC for connectivity-constrained fixed-wing aerial swarms
    Yacine Derder, Augustin Desombre, Kagan Erünsal and Alcherio Martinoli
  • Distributed multi-coverage for robot swarms
    Mariem Guitouni and Aaron Becker
  • Energy-efficient flocking in self-organized robot swarms
    Sina Mahdavi Nasab, Dushyant Singh, Peter Klapwijk, Georges Jetti, Michael Khayyat, Francesco Braghin and Eliseo Ferrante
  • From ants to primate-like social dynamics
    Roman Miletitch and Limor Raviv
  • Marine surface vehicle formations in confined environments
    Chanaka Thushitha Bandara and Herbert G. Tanner
  • Mitigating latency and partitioning through size regulation in blockchain-enabled robot swarms
    Raina Zakir, Marco Dorigo and Volker Strobel
  • Multi-agent reinforcement learning of a fault-robust controller in an intralogistics robot swarm
    Youssef Alboraei, Sabine Hauert and Suet Lee
  • Multi-robot visibility-based connected exploration
    Chetan Gadidesi, Sean Klink and Aaron Becker
  • Plyo: AI-assisted lightning-fast communication for robot swarms
    Martina Balbi, Lance Doherty and Thomas Watteyne
  • ROS-2-ARGoS bridge: scalable simulations of swarms of 1000 and more robots
    Sindiso Mkhatshwa, Tianfu Zhang, Paolo Leopardi, Heiko Hamann and Andreagiovanni Reina
  • Ten years of the collective perception benchmark in swarm robotics: achievements and challenges
    Heiko Hamann and Andreagiovanni Reina
  • Tumblenauts: towards a bacteria-inspired robot swarm for intra-vehicular space inspection
    Sneha Ramshanker, Merihan Alhafnawi, Yushra Guffer and Radhika Nagpal
  • Warmth and competence in the swarm: designing effective human-robot teams
    Genki Miyauchi, Roderich Groß and Chaona Chen

Short papers

  • Active elastic matter: 3D collective motion for swarms
    Ersin Keskin, Ali Emre Turgut and Erol Şahin
  • Adaptive multi-robot herding via dynamic risk-aware angular repositioning
    Leyre Remartinez, Alejandro Perez-Yus and Rosario Aragues
  • Decentralized multi-robot coverage of hemispherical surfaces via fortune-based partitioning
    Mehdi Belal, Tiziano Manoni, Dario Albani and Lorenzo Sabattini
  • Distributed analytic center selection for resilient control of multi-robot systems with imperfect communication channels
    Gennaro Notomista
  • Escaping the trap: benchmarking swarm gradient-following in geometrically constrained environments
    Kian Andrew Busico, Lilly Schwarzenbach, Fares Abu-Dakka and Eliseo Ferrante
  • FDA flocking: future direction-aware flocking via velocity prediction
    Hossein B. Jond and Martin Saska
  • FORMICA: decision-focused learning for communication-free multi-robot task allocation
    Antonio Lopez, Jack Muirhead and Carlo Pinciroli
  • From pheromones to policies: reinforcement learning for engineered biological swarms
    Aymeric Vellinger, Nemanja Antonic and Elio Tuci
  • GMM-PACO: gaussian mixture models and pareto-based ant colony optimization for multi-objective feature selection
    Anna Krysta, Ines Alaya and Tristan Cazenave
  • Heterogeneous visco-elastic cyber-physical swarm exploration algorithm in an unknown environment
    Fatemeh Rekabi Bana, Mazen Bahaidarah and Farshad Arvin
  • How swarms differ: challenges in collective behaviour comparison
    André Fialho Jesus and Jonas Kuckling
  • Knowledge distillation-driven federated learning as a service for resource-constrained edge intelligence
    Filippo Vannella, Tianyue Chu, David Solans Noguero and Sotirios Spantideas
  • Modeling information propagation in robot swarms through epidemiological models
    Giuseppe Antonio Patarino, Volker Strobel, Himank Gupta and Marco Dorigo
  • On the cost of evolving task specialization in multi-robot systems
    Paolo Leopardi, Heiko Hamann, Jonas Kuckling and Tanja Katharina Kaiser
  • PREVENT-JACK: context steering for swarms of long heavy articulated vehicles
    Adrian Schönnagel, Michael Dubé, Christoph Steup, Felix Keppler and Sanaz Mostaghim
  • Re-solving the shepherding problem: lead when possible, herd when necessary
    Daniel Strömbom, Julianna Hoitt and Cameron Cloud
  • Scalable foraging: A paired body design and controller for foraging robots
    Andrew Vardy and Marius Seidl
  • Self-adaptive phase control in robotic swarms using social learning with fast transmission
    Leo Cazenille, Salman Houdaibi and Nicolas Bredeche
  • Set-based particle swarm optimisation approach to training support vector machines
    Anika Nel and Andries Engelbrecht
  • Swarming dynamics of active microbial populations in fermentation: an active-matter framework for food safety risk mapping
    Fatima-Ez-Zahra Grini, Souad Tayane, Jaafar Gaber, Safa El Kordy and Walid Abouzoul
  • Swarming from vision data only: A comparative study of imitation and reinforcement learning
    Yu Zhou, Jo Plested, Kathryn Kasmarik and Matt Garratt
  • The split over $n$ resource sharing problem: are fewer capable agents better than many simpler ones?
    Karthik Soma, Mohamed Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann and Roderich Gross
  • User-centred design of multi-UAV swarm interfaces for firefighting UAVs
    Alexander McConville, Georgios Tzoumas, Lucio Salinas, Marcela Munera and Sabine Hauert
  • When small differences matter: how small differences create leaders in flocking swarms
    Yara Khaluf

Extended abstracts

  • A gaussian bounded confidence model for resisting misinformation in swarm robotics
    Yuxuan Yuan, Paul O'Dowd and Jonathan Lawry
  • Automatic design of robot swarms for crowd evacuation under diverse human behaviors
    Miquel Kegeleirs, Jeanne Szpirer, Wassim Al Khouri, Guillermo Legarda Herranz, Gianpiero Francesca and Mauro Birattari
  • Cooperative energy-replenishment in robot swarms with optimal performance and efficiency
    Julian Rau, Mohamed S. Talamali, Genki Miyauchi, Usama Ali, Mengyao Liu, Danny Hughes, Thomas Watteyne and Roderich Groß
  • Development of an integrated swarm robotics platform with real-time human control and UAV deployment
    Sujit Pb, Rugved Upadhaya, Akshat Singh and Swadhin Agrawal
  • Environmental perception in a swarm of conversational agents
    Absera Yihunie, Lilly Schwarzenbach, Hanan Salam and Eliseo Ferrante
  • Experimentally validated distributional model and control framework for large-scale passive swarm robot
    Seth Jaehyun Lim, Yuanbo Nie, Mohamed Salah Talamali, Roderich Gross and Visakan Kadirkamanathan
  • Fission–fusion processes for regulation of group size and number in multi-agent systems
    Tianfu Zhang, Suet Lee and Heiko Hamann
  • Grid-based complete resource foraging for robot swarms
    Arturo Gonzalez and Qi Lu
  • Knowledge distillation for developing versatile controllers of robotic swarms
    Asad Razzaq and Toshiyuki Yasuda
  • LSSD-RL: local string stability-driven reinforcement learning for adaptive swarm control
    Yusi Wei, Wenke E, Amir Atapour-Abarghouei, Farshad Arvin and Junyan Hu
  • Magbotsim: physics-based simulation and reinforcement learning environments for magnetic robotics
    Lara Bergmann, Cedric Grothues and Klaus Neumann
  • Minimizing uncertainty as a principle for task allocation in robot swarms
    Yannick Wesseloh, Paolo Leopardi, Jonas Kuckling and Heiko Hamann
  • Real-time neuromorphic sensing and spiking attractor dynamics for coordinated multi-agent behaviour
    Muhammad Aitsam and Alessandro Di Nuovo
  • Solving routing problems with multiple drones with interceptions
    Sarah Dillon and Jacomine Grobler
  • SonoRo: a swarm robotics platform to study acoustically driven collective behaviour
    Alberto Doimo, Heiko Hamann, Andreagiovanni Reina and Thejasvi Beleyur
  • Swarm vs. swarm behaviour via multi-objective multi-agent reinforcement learning
    Sune Nielsen, Negin Mohammadi, Tanaz Ghahremani and Grégoire Danoy
  • Trust and perception of robot swarm motion in remote contexts
    Yue Cao, Razanne Abu-Aisheh, Shyamli Suneesh and Sabine Hauert

Location

Welcome to Darmstadt!

For the first time, the ANTS conference series will take place in Darmstadt, Germany. ANTS 2026 will be hosted by the Technical University of Darmstadt at the darmstadtium - Science and Congress Center, located in the heart of the city. The conference location is walking distance to the UNESCO World Heritage site Mathildenhöhe Darmstadt, offering attendees a unique opportunity to experience both ground-breaking research and the rich cultural heritage of the city.

Venue Address

darmstadtium - Science and Congress Center
Schlossgraben 1
64283 Darmstadt, Germany

Getting There

Frankfurt Airport (FRA), located 16 miles from Darmstadt, offers direct flights to 300 destinations. The AirLiner (AIR) shuttle bus connects FRA (Terminal 1) with Darmstadt, with stops at the train station and conference venue ("Kongresszentrum darmstadtium"). Please be aware that Hahn Airport (HHN) also misleadingly carries the name "Frankfurt"-Hahn but is a 3 hour ride away from Darmstadt! We strongly recommend flying to Frankfurt Airport (FRA).
If arriving by train, Darmstadt Hauptbahnhof (main station) provides frequent regional and long-distance connections, and is only 10 minutes to the darmstadtium by taxi or tram/bus. Google Maps can be used to check for the most suitable public transport options.

Contacts

Prof. Roderich Gross
Fachgebiet Resilient Cyber Physical Systems
Technical University of Darmstadt
Mornewegstr. 32
64293 Darmstadt, Germany
Email: ants2026@rcps.tu-darmstadt.de

Accommodation Options

For accommodation we suggest to book directly at a hotel of your choice. Google Maps can be used to check public transport options to the venue.

We can offer you a discounted rate at the Welcome Hotel using this link.

Hotels recommended by TU-Darmstadt
Hotel Hotel Rating Walking time Website
Welcome Hotel Darmstadt City Center ★★★★ 3 min welcome-hotels.com
THE Darmstadt ★★★ 13 min thehotelexperience.de
Felix Hotel Darmstadt - 14 min felix-hotels.de
Maritim Hotel Darmstadt ◉◉◉◉ 25 min maritim.de
IntercityHotel Darmstadt ◉◉◉◉ 28 min hrewards.com
Holiday Inn Express Darmstadt (by IHG) ★★★ 34 min ihg.com
Other hotels in Darmstadt
Hotel Distance to venue Walking time Website
Best Western Hotel Darmstadt Mitte ★★★ 10 min bestwestern.de
Limehome Darmstadt - 10 min limehome.com
Hotel Atlanta ★★★ 16 min hotel-atlanta-darmstadt.de
H+ Hotel Darmstadt - 24 min h-hotels.com
Dormero Hotel Darmstadt ◉◉◉◉ 24 min dormero.de
Plaza Premium Darmstadt ◉◉◉◉ 28 min plazahotels.de
Moxy Darmstadt ◉◉◉ 29 min marriott.com
B&B Hotel Darmstadt ◉◉◉ 30 min hotel-bb.com
Holiday Inn Express Darmstadt (by IHG) ★★★ 34 min ihg.com
greet Hotel Darmstadt (Accor) ★★★ 40 min all.accor.com
TBD

Conference Information

Guido de Croon

Delft University of Technology, Netherlands
Swarms of small, autonomous drones.

Swarms of small drones are promising for many applications, such as search-and-rescue, greenhouse monitoring, or keeping track of stock in warehouses. Since they are small, they can fly in narrow areas. Moreover, their light weight makes them very safe for flight around humans. However, making such tiny drones fly completely by themselves is an enormous challenge. Most approaches to Artificial Intelligence for robotics have been designed with self-driving cars or other large robots in mind – and these are able to carry many sensors and ample processing. In my talk, I will argue that a different approach is necessary for achieving autonomous flight with tiny drones. In particular, I will discuss how we can draw inspiration from flying insects, and endow our drones with similar intelligence. Examples include the fully autonomous “DelFly Explorer”, a 20-gram flapping wing drone, and swarms of CrazyFlie quadrotors of 30 grams able to explore unknown environments and finding gas leaks. Moreover, I will discuss the promises of novel neuromorphic sensing and processing technologies, illustrating this with recent experiments from our lab.


Guido de Croon received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University, the Netherlands. Currently, he is Full Professor at the Micro Air Vehicle lab (MAVLab) of Delft University of Technology. Furthermore, he is editor-in-chief of the Nature portfolio journal of Robotics. His research interest lies with computationally efficient, bio-inspired algorithms for autonomous, light-weight flying robots, with an emphasis on computer vision. His work has included fully autonomous flight of the 20-gram flapping wing drone "DelFly Explorer" and a swarm of tiny, 30-gram nano-copters able to explore unknown environments and localize gas leaks. Moreover, his group has made several advances in energy-efficient, low-latency neuromorphic sensing and processing for autonomous drones. Finally, his work has generated various new hypotheses on biological intelligence, including how honeybees actively evaluate distances with optical flow and how flying insects can estimate their flight attitude without using accelerometers.

Guido De Croon's Picture

Sharon Glotzer

University of Michigan, USA
Towards colloidal swarm robots

The growing ability to synthesize colloidal nanoparticles of arbitrary shape and interaction anisotropy creates the potential for realizing active complex particle systems with emergent swarm-like behavior that mimics that of microrobotic assemblies and biological systems such as unicellular organisms and tissues. In this talk, we discuss the rise of colloidal robotics and present a complex particle system we call “flexicles” – deformable, artificial cellular superstructures composed of active particles encapsulated by a flexible membrane. We investigate the behavior of single-, multi- and many-flexicle systems, demonstrating how shape deformability of model flexicles gives rise to a diversity of swarming behavior. We show how flexicles are able to navigate through complex environments, accomplish simple tasks, and more. Our findings demonstrate a new, experimentally realizable class of complex particle systems capable of emergent swarm-like behaviors and robotic function.


Sharon C. Glotzer is the John Werner Cahn Distinguished University Professor of Engineering and the Stuart Churchill Collegiate Professor of Chemical Engineering at the University of Michigan, Ann Arbor. She also holds faculty appointments in Materials Science & Engineering, Physics, Applied Physics, and Macromolecular Science and Engineering, and is an elected member of the U.S. National Academy of Sciences, U.S. National Academy of Engineering, American Academy of Arts & Sciences, and the Royal Society of Chemistry in the UK. Her research on computational assembly science and engineering aims toward the predictive design of colloidal and soft matter, with emphasis on complex particles and particle systems. Using simulation, geometrical concepts, and statistical mechanics, her research group seeks to understand the complex behavior emerging from simple rules and forces and to use that knowledge to design new classes of materials. Her work includes control of spatiotemporal organization in soft matter, discovery of one-dimensional dynamical structures in dense atomic, molecular and particulate fluids, and the discovery of high entropy colloidal crystals and quasicrystals for which she introduced the notion of entropic bonding. Glotzer’s “patchy particle” framework for designing and rationalizing assemblies of nanoparticles has been guiding experiments for two decades. Recently, her group introduced the “flexicle” as a conceptual platform for colloidal robotics. Glotzer’s group also develops and disseminates powerful open-source software, including the particle simulation toolkit HOOMD-blue.

Guido De Croon's Picture

Jesus Gomez Gardeñes

University of Zaragoza, Spain

Jesús Gómez-Gardeñes is Full Professor of Condensed Matter Physics at the University of Zaragoza and senior researcher at the Institute for Biocomputation and Physics of Complex Systems (BIFI), where he leads the Group of Theoretical and Applied Modeling (GoThAM Lab). His research is grounded in Statistical and Nonlinear Physics, with a central focus on Network Science and on how macroscopic collective phenomena emerge from microscopic interaction rules. Gómez-Gardeñes has made fundamental contributions to the understanding of the structure and dynamics of complex systems, particularly in congestion phenomena in traffic routing, synchronization transitions, multilayer network dynamics, and evolutionary game theory. A unifying theme of his work is the analysis of how structural organization constraints and shapes functional behavior. His research has received broad international recognition, especially for applications to real-world problems, including large-scale, data-driven modeling of epidemic spreading and the study of cooperation and cultural accumulation in real populations. Methodologically, his work combines analytical approaches, high-performance numerical simulations, and empirical data analysis, allowing him to connect theoretical models with operational tools for realistic scenarios. This integrative perspective is reflected in a prolific publication record in leading journals and a citation impact that positions him as a reference figure in the international complex systems community.

Jesús Gómez-Gardeñes's Picture

Thomas Watteyne

Analog Devices, USA

Thomas Watteyne is an insatiable enthusiast of low-power wireless technologies. He holds a Senior Research Director position at Inria in Paris, where he leads the AIO research team that designs, models and builds networking solutions based on a variety of Internet-of-Things (IoT) standards. He is Wireless System Architect at Analog Devices, the undisputed leader in supplying low power wireless mesh networking solutions for critical applications for industrial and beyond. Since 2023, Thomas is the scientific coordinator of the Horizon Europe OpenSwarm project. In 2019, he co-founded Wattson Elements, the company that develops the award-winning Falco marina management solution. Between 2013 and 2022, Thomas co-chaired the IETF 6TiSCH working group to standardize how to use IEEE802.15.4e TSCH in IPv6-enabled mesh networks. He was a postdoctoral research lead in Prof. Kristofer Pister’s team at the University of California, Berkeley. He founded and co-leads Berkeley’s OpenWSN project, an open-source initiative to promote the use of fully standards-based protocol stacks for the IoT. Between 2005 and 2008, he was a research engineer at France Telecom, Orange Labs. He holds a PhD in Computer Science (2008), an MSc in Networking (2005) and an MEng in Telecommunications (2005) from INSA Lyon, France. He is a Senior member of IEEE. He is fluent in 4 languages.

Thomas Watteyne's Picture

Liam Young

SCI Arc, USA

Liam Young is a designer, director and BAFTA nominated producer renowned for his innovative work at the intersection of design, fiction, and futures. Described by the BBC as ‘the man designing our futures’, his visionary films and speculative worlds are both extraordinary images of tomorrow and urgent examinations of the environmental questions facing us today. As a worldbuilder he visualizes the cities, spaces and props of our imaginary futures for the film and television industry and with his own films he has premiered with platforms ranging from Channel 4, Apple+, SxSW, Tribeca, the New York Metropolitan Museum, The Royal Academy, Venice Biennale, the BBC and the Guardian. His films have been collected internationally by museums such as MoMA New York, the Art Institute of Chicago, SF MoMA, The Smithsonian, the Victoria and Albert Museum, the National Gallery of Victoria and M Plus Hong Kong and has been acclaimed in both mainstream and design media including features with TED, Wired, New Scientist, Arte, Canal+, Time magazine and many more. His film work is informed by his academic research and has held guest professorships at Princeton University, MIT, and Cambridge and now runs the ground breaking Masters in Fiction and Entertainment at SCI Arc in Los Angeles. He has published several books including the recent Machine Landscapes: Architectures of the Post Anthropocene and Planet City, a story of a fictional city for the entire population of the earth.

Liam Young's Picture

Monday, June 8, 2026

TBD

Tuesday, June 9, 2026

TBD

Wednesday, June 10, 2026

TBD
The ANTS 2026 registration fee is listed below:
Category Price
early bird (till 20 Feb) 550€
normal (till 1 May) 650€
late (till 7 June) 725€
on-site 800€

The conference fee includes:

  • admission to all technical sessions
  • lunch and coffee breaks
  • 1x conference banquet ticket (9 June)
  • 1x hardcopy of the conference proceedings

Register now!

Best Paper Award

Continuing with a tradition started at ANTS 2002 , the "Best Paper Award" at ANTS 2026 consists of a sculpture of an ant specially made for the ANTS conference series by the Italian sculptor Matteo Pugliese.

ANTS 2020 award

Best Video Awards

Supplementary video files will be peer-reviewed alongside the regular submissions they complement. Up to four Best Video Awards (EUR 250 each) sponsored by Springer Nature will recognize outstanding submissions.

Organizers

Organizing Committee

General chair
Roderich Gross, Technical University of Darmstadt, Germany
Honorary chair
Marco Dorigo, Université Libre de Bruxelles, Belgium
Technical program chairs
Aaron T. Becker, University of Houston, USA
Gianni Di Caro, Carnegie Mellon University, Qatar
Bahar Haghighat, University of Groningen, The Netherlands
M. Ani Hsieh, University of Pennsylvania, USA
Publicity chair
Razanne Abu-Aisheh, University of Bristol, UK
Publication chair
Mohamed Salah Talamali, The University of Sheffield, UK
Local organisation committee
Usama Ali, Technical University of Darmstadt, Germany
Uta Drews, Technical University of Darmstadt, Germany
Ecem Isildar, Technical University of Darmstadt, Germany
Grace McFassel, Technical University of Darmstadt, Germany
Jenny von Trzebiatowski, Technical University of Darmstadt, Germany
Paper submission chair
Julian Rau, Technical University of Darmstadt, Germany

Steering Committee

Marco Dorigo, Université Libre de Bruxelles, Belgium
Andries Engelbrecht, Stellenbosch University, South Africa
Heiko Hamann, University of Konstanz, Germany
Alcherio Martinoli, École Polytechnique Fédérale de Lausanne, Switzerland
Radhika Nagpal, Princeton University, USA
Thomas Stützle, Université Libre de Bruxelles, Belgium
Guy Theraulaz, CNRS CRCA, France

Program Committee

  • Aigul Adamova, Astana IT University
  • Julie Adams, Oregon State University
  • Saurav Agarwal, University of Pennsylvania
  • Dario Albani, Technology Innovation Institute
  • Hande Alemdar, Middle East Technical University
  • Merihan Alhafnawi, Princeton University
  • Khulud Alharthi, University of Bristol
  • Christine Allen-Blanchette, Princeton University
  • Francesco Amigoni, Politecnico di Milano
  • Martyn Amos, Northumbria University
  • Rosario Aragüés, Universidad de Zaragoza
  • Farshad Arvin, Durham University
  • Anna Bakenecker, Technical University of Darmstadt
  • Jagdish Chand Bansal, South Asian University
  • Palina Bartashevich, Humboldt University of Berlin
  • Jacob Beal, Raytheon BBN
  • Giovanni Beltrame, École Polytechnique Montréal
  • Spring Berman, Arizona State University
  • Christian Bettstetter, University of Klagenfurt
  • Anastasia Bizyaeva, Cornell University
  • Johanna Blee, University of Bristol
  • Christian Blum, Artificial Intelligence Research Institute
  • Roland Bouffanais, University of Geneva
  • Nicolas Bredèche, Sorbonne Université
  • Daniel Brown, University of Utah
  • Alfred Bruckstein, Technion – Israel Institute of Technology
  • David C. Burnett, National Council of Scientifics and Technological Researches
  • Christian Camacho, Université Libre de Bruxelles
  • Timoteo Carletti, University of Namur
  • Marco Castellani, University of Birmingham
  • Davis Catherman, Worcester Polytechnic Institute
  • Stephen Chen, York University
  • Anders Lyhne Christensen, University of Southern Denmark
  • Mela Coffey, Boston University
  • Óscar Cordón, Universidad de Granada
  • Michael Crosscombe, University of Tokyo
  • Philip Dames, Temple University
  • Sanjoy Das, Kansas State University
  • Guido de Croon, Delft University of Technology
  • Gonzalo De Polavieja, Champalimaud Foundation
  • Alessandro Di Stefano, Teesside University
  • Karl Doerner, University of Vienna
  • Marco Dorigo, Université Libre de Bruxelles
  • Qiqi Duan, Southern University of Science and Technology
  • Victoria Edwards, University of Pennsylvania
  • Mohammed El-Abd, American University of Kuwait
  • Ali Emre Turgut, Middle East Technical University
  • Andries Engelbrecht, University of Stellenbosch
  • Chuchu Fan, MIT
  • Sandor Fekete, Technische Universität Braunschweig
  • Eliseo Ferrante, Vrije Universiteit Amsterdam
  • Manon Flageat, University of Cambridge
  • Ryusuke Fujisawa, University of Kitakyushu
  • Hector Garcia de Marina, Universidad de Granada
  • José García-Nieto, University of Málaga
  • Simon Garnier, New Jersey Institute of Technology
  • David Garzón Ramos, University of Bristol
  • Ebi George, University of Lausanne
  • Debasish Ghose, Indian Institute of Science, Bangalore
  • Maria Gini, University of Minnesota
  • Dan Goldman, Georgia Institute of Technology
  • Heiko Hamann, University of Konstanz
  • Julia Handl, The University of Manchester
  • Negin Harandi, Ghent University
  • Helen Harman, University of Lincoln
  • Ken Hasselmann, Royal Military Academy
  • Kiyohiko Hattori, The University of Electro-Communications
  • Sabine Hauert, University of Bristol
  • Tomohiro Hayakawa, Shizuoka University
  • Mary Katherine Heinrich, Université Libre de Bruxelles
  • Ayah Helal, Manchester Metropolitan University
  • Mardé Helbig, Griffith University
  • Motoaki Hiraga, Kyoto Institute of Techno
  • Wolfgang Hoenig, Technical University of Berlin
  • Junyan Hu, Durham University
  • Danny Hughes, KU Leuven
  • Edmund Hunt, University of Bristol
  • Takashi Ikegami, The University of Tokyo
  • Kaushik Jayaram, University of Colorado Boulder
  • Yongnan Jia, University of Science and Technology Beijing
  • Simon Jones, University of Bristol
  • Tanja Kaiser, University of Technology Nuremberg
  • Kathryn Kasmarik, University of New South Wales
  • Yuri Kaszubowski Lopes, Santa Catarina State University
  • Yara Khaluf, Wageningen University and Research
  • Solmaz Kia, University of California Irvine
  • Andrew J. King, Swansea University
  • Andreas Kolling, Amazon Robotics
  • Tomas Krajnik, Czech Technical University in Prague
  • Jonas Kuckling, University of Konstanz
  • Sandeep Ameet Kumar, The University of the South Pacific
  • Daisuke Kurabayashi, Tokyo Institute of Technology
  • Tin Lun Lam, The Chinese University of Hong Kong
  • Suet Ying Lee, University of Konstanz
  • Liang Li, University of Konstanz
  • Mengguang Li, Technical University of Darmstadt
  • Jing Liang, Zhengzhou University
  • Simone Ludwig, North Dakota State University
  • Danna Ma, Cornell University
  • Vittorio Maniezzo, University of Bologna
  • Alcherio Martinoli, EPFL
  • Bernd Meyer, Monash University
  • Genki Miyauchi, The University of Sheffield
  • Nicolas Monmarché, Université de Tours
  • Radhika Nagpal, Princeton University
  • Changjoo Nam, Sogang University
  • Arouna Ndam Njoya, Institut Universitaire de Technologie de Ngaoundéré
  • Frank Neumann, The University of Adelaide
  • Tri-Hai Nguyen, Van Lang University
  • Geoff Nitschke, University of Cape Town
  • Gennaro Notomista, University of Waterloo
  • Jason O'Kane, Texas A&M University
  • Kazuhiro Ohkura, Hiroshima University
  • Ana Carolina Olivera, National Council of Scientifics and Technological Researches
  • Beatrice Ombuki-Berman, Brock University
  • Mahamed Omran, Abdullah Al Salem University
  • Jun Ota, University of Tokyo
  • Michael Otte, University of Maryland
  • Sujit P. Baliyarasimhuni, Indian Institute of Science and Research Bhopal
  • Jacopo Panerati, École Polytechnique Montréal
  • Shinkyu Park, King Abdullah University of Science and Technology
  • Konstantinos Parsopoulos, University of Ioannina
  • Paola Pellegrini, Université Gustave Eiffel
  • Gilbert Peterson, US Air Force Institute of Technology
  • Tatjana Petrov, University of Trieste
  • Carlo Pinciroli, Worcester Polytechnic Institute
  • Benoît Piranda, FEMTO-ST Institute, CNRS
  • Leslie Pérez Cáceres, Pontificia Universidad Católica de Valparaíso
  • Alberto Quattrini Li, Dartmouth College
  • Günther Raidl, Vienna University of Technology
  • Sneha Ramshanker, Princeton University
  • Andreagiovanni Reina, Max Planck Institute of Animal Behavior
  • Andreas Reinhardt, Clausthal University of Technology
  • Rui P. Rocha, University of Coimbra
  • Nicolás Rojas, Universidad Técnica Federico Santa María
  • Andrea Roli, University of Bologna
  • Pawel Romanczuk, Humboldt Universität zu Berlin
  • Michael Rubenstein, Northwester University
  • Lorenzo Sabattini, University of Modena and Reggio Emilia
  • Brian Sadler, The University of Texas at Austin
  • Erol Sahin, Middle East Technical University
  • Mohammad Salahshour, Max Planck Institute of Animal Behavior
  • Guillaume Sartoretti, National University of Singapore
  • Thomas Schmickl, University of Graz
  • Melanie Schranz, Lakeside Labs GmbH
  • Roman Senkerik, Tomas Bata University in Zlin
  • Dylan Shell, Texas A&M University
  • John W. Sheppard, Montana State University
  • Masashi Shiraishi, Hiroshima City University
  • Himani Sinhmar, Princeton University
  • Rebeca Solis-Ortega, Instituto Tecnológico de Costa Rica
  • Karthik Soma, École Polytechnique Montréal
  • Mohammad Soorati, University of Southampton
  • Martin Stefanec, University of Graz
  • Kasper Stoy, IT University of Copenhagen
  • Volker Strobel, Université Libre de Bruxelles
  • Daniel Stroembom, Lafayette College
  • Thomas Stützle, Université Libre de Bruxelles
  • Dirk Sudholt, University of Passau
  • Petras Swissler, New Jersey Institute of Technology
  • Katia Sycara, Carnegie Mellon University
  • Kenneth Sörensen, University of Antwerp
  • Mohamed Salaheddine Talamali, The University of Sheffield
  • Herbert Tanner, University of Delaware
  • Danesh Tarapore, University of Southampton
  • Guy Theraulaz, CNRS CRCA
  • Joseph Thomas, Google Cloud
  • Ljiljana Trajkovic, Simon Fraser University
  • Vito Trianni, Istituto di Scienze e Tecnologie della Cognizione – Consiglio Nazionale delle Ricerche
  • Elio Tuci, Université de Namur
  • Vivek Shankar Varadharajan, Polytechnique Montreal
  • Andrew Vardy, Memorial University of Newfoundland
  • Sebastian von Mammen, University of Würzburg
  • Vojtech Vonasek, Czech Technical University in Prague
  • Mostafa Wahby, University of Lübeck
  • Rolf Wanka, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Thomas Watteyne, Inria
  • Tomer Weiss, New Jersey Institute of Technology
  • Justin Werfel, Harvard University
  • Malte Wirkus, DFKI
  • Carsten Witt, Technical University of Denmark
  • Cheng Xu, University of Science and Technology Beijing
  • Shengxiang Yang, De Montfort University
  • Toshiyuki Yasuda, University of Toyama
  • Raina Zakir, Université Libre de Bruxelles
  • Yating Zheng, Humboldt University of Berlin
  • Tamara Zhukabayeva, Eurasian National University

Instructions

Initial submission instructions (main track)

Submissions may be a maximum of 11 pages, excluding references, when typeset in the Springer Lecture Notes in Computer Science (LNCS) LaTeX template. Submissions should be a minimum of 7 full pages.

This strict page limit includes figures, tables, and all supplementary sections (e.g., Acknowledgements). The only exclusion from the page limit is the reference list, which should be of any length suitable to adequately position the paper with respect to the state of the art.

Papers should be prepared in English, in the Springer LNCS LaTeX style, using the default font and font size. Authors should consult Springer’s authors’ guidelines and use their proceedings template for LaTeX, for the preparation of their papers. Please download the Proceedings (LNCS) LaTex template package (zip, 318 kB) and authors' guidelines (pdf, 244 kB) directly from the Springer website.

All submissions will undergo single-blind peer review, that is, they should include author names and affiliations.

Submissions that do not respect these guidelines will not be considered.

Note: Authors may find it convenient that Springer LNCS LaTex templates are available in Overleaf.

The initial submission must be in PDF format.

All submissions must comply with Springer Nature’s Book Authors’ Code of Conduct.

Please note that in the camera-ready phase, authors of accepted papers will need to submit both a compiled PDF and all source files (including LaTeX files and figures).

The camera-ready phase will have more detailed formatting requirements than the initial submission phase.

Accompanying Video

Springer offers authors the option of including videos in their proceedings papers. You may (optionally) upload a supplementary video file (only MP4 format, maximum duration of 180 seconds, maximum file size of 50 MB, resolution 16:9). Please note that a video that was NOT submitted with the initial submission of an ANTS paper, will NOT be accepted at a later date. Authors must not violate privacy and confidentiality rules and, as always, permission must be sought for use of third-party content.

Use of large language models

We ask all authors and reviewers to adhere to the Springer Nature policy regarding the use of AI: Springer: Artificial Intelligence (AI)

Submission process

The paper submission system closes at 23:59:59 (AoE) on 20 November 2025.

Submitted papers will be peer-reviewed on the basis of relevance, originality, technical quality, significance, and presentation quality (see Review Form). If a submission is not accepted as a full length paper, it may still be accepted either as a short paper or as an extended abstract. In such cases, authors will be asked to reduce the length of the submission accordingly. Authors of all accepted papers will be asked to execute revisions, based on the reviewers’ comments.

Submit a paper

Camera-Ready Submission Instructions

Accepted papers are to be revised and submitted as a camera-ready version. Reviewers’ comments should be taken into account and should guide appropriate revisions.

By submitting a camera-ready paper, the author(s) agree that at least one author will attend the conference and give a presentation of the paper. At least one author must be registered by the deadline for camera-ready submissions.

Camera-ready submission deadline: February 13, 2026, 23:59:59 (AoE).


1. Preparing your camera-ready manuscript

LaTeX template to use

Papers must be prepared using the LNCS Springer LaTeX template provided by Springer and must follow the LNCS default formatting (font, font size, margins, and spacing). Authors should consult Springer’s authors’ guidelines when formatting their paper.

The LaTeX class and reference style files included in the template:

  • llncs.cls
  • splncs04.bst

are already correctly configured and must not be modified under any circumstances.


Number of pages

  • Full-length papers are strictly limited to 11 pages + references
  • Short papers are strictly limited to 7 pages + references
  • Extended abstracts are strictly limited to 2 pages (including references)

These page limits include figures, tables, and all supplementary sections (e.g. Acknowledgements). The only exclusion from these page limits is the reference list, which should have an appropriate length with respect to the state of the art.

All page limits refer to papers prepared using the LNCS Springer LaTeX template.


Formatting details

Authors should ensure that their manuscript respects the following rules.

The following LNCS template options are mandatory.

Running header

The running header must be enabled. This is done by starting the document with:

\documentclass[runningheads]{llncs}

In the \authorrunning{} field:

  • Give the initial(s) of the first name(s) followed by the full surname
  • Always include the first author
  • If there are two authors, include both
  • If there are more than two authors, use et al. after the first author’s name

If the paper title is too long for the running header, specify a shortened version using:

\titlerunning{Abbreviated paper title}
Title and headings
  • Titles, headings, and subheadings must follow Title Case capitalization (i.e., all words should be capitalized, except for articles, prepositions, and conjunctions)
  • Do not use \newline in the title
  • Headings and subheadings must be left-aligned
Author names and affiliations
  • Use the surname as the last name
  • Provide the full first name (not only initials)
  • Do not include academic titles (e.g. Prof., Dr.)
  • ORCIDs may optionally be included using \orcidID{} within the \author{} field

Affiliations must include:

  • department, faculty, or unit
  • university or company,
  • city,
  • country,
  • email address.

Do not include street addresses or ZIP/postal codes.
The corresponding author’s email address is mandatory.

After the \institute{} entries, include an \index{} entry for each author, giving the surname, followed by the full first name(s). For example:

\index{SurnameAuthor1, FirstnameAuthor1}
\index{SurnameAuthor2, FirstnameAuthor2}
\index{SurnameAuthor3, FirstnameAuthor3}
Acknowledgements
  • Acknowledgements, if any, must be placed as the last subsubsection, immediately before the references
  • Do not format acknowledgements as footnotes
Keywords
  • Do not include keywords in the manuscript
    (they will not appear in the proceedings)
Extended Abstracts

For contributions accepted as Extended Abstracts:

  • Do not include an abstract
  • Do not include section headings or subheadings in the main body
  • The only permitted headings are Acknowledgements and References (if applicable)

Formatting restrictions

Do not add formatting modifications to the main document (.tex) to override the template defaults (e.g. margins, line spacing, or font sizes). In particular:

  • Do not use manual spacing commands (e.g. \vspace{}, \\*[0pt])
  • Do not redefine fonts or font sizes
  • Do not include special fonts
  • Do not include packages or custom commands that alter the LNCS formatting
    (e.g. do not use the subcaption package, as it overrides the default caption formatting in the template).

During the final preparation of the proceedings, Springer will recompile all papers using their original LNCS class files. Any formatting modifications that do not comply with the template may be removed, potentially affecting the paper length. Papers that do not compile correctly or do not follow the required format cannot be included in the proceedings.


Figures

Figures should be provided in their original vector format (.pdf, .eps) wherever applicable. If raster graphics are used (.png, .jpeg, .tiff, .bmp), they must be high resolution at the final printed size:

  • at least 800 dpi for figures containing linework,
  • at least 300 dpi for all other figures.

Although figures in the digital proceedings will appear in full color, the printed proceedings will be produced in grayscale. Authors must ensure that all figures remain clearly legible when printed in grayscale.


References and citations

References must be formatted using the LNCS reference style splncs04.bst. In-text citations appear as numbers, and the numbered reference list is ordered alphabetically.

Ensure your manuscript includes the following lines (uncommented) in the appropriate place:

\bibliographystyle{splncs04}
\bibliography{mybibliography}

Authors must not change the bibliography style.

Authors must create their own .bib file and populate it with their references. By default, the template uses mybibliography.bib; authors should either name their file mybibliography.bib or update the filename in the \bibliography{...} command accordingly, while keeping the bibliography style unchanged.

The .bbl file must be generated and included in the camera-ready submission archive.


ORCID and publication forms

Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author, acting on behalf of all authors, must complete and sign the Consent-to-Publish form.

Once the camera-ready files have been sent to Springer, changes relating to the authorship of the papers can no longer be made.


2. Submitting your camera-ready manuscript

Camera-Ready Author Checklist

Before proceeding with submission, authors must complete the Camera-Ready Author Checklist. The checklist serves as a self-verification that all formatting, file, and submission requirements have been satisfied. The completed checklist must be submitted as a PDF and included in the camera-ready submission archive.

Failure to complete and submit the checklist may result in exclusion from the conference proceedings.


Supplementary video (if accepted - consult the notifications email)

Upload the video as part of your camera-ready submission archive. File: MP4 only; max duration: 180 seconds; max size: 50 MB; format: 16:9. Authors must not violate privacy or confidentiality rules and must obtain permission for any third-party content.

For Springer Nature to publish your supplementary video file two conditions must be met:

  • Your submission has been accepted as full or short paper.
  • Your video (or earlier versions thereof) was originally submitted alongside your paper and accepted for publication (consult notifications email).

What should you submit

Your camera-ready submission must be uploaded as a single compressed archive (.zip or .tgz). The maximum archive size is 100 MB.

Authors must remove any files that are not used in the compilation of the manuscript, including (but not limited to) previous versions of figures, backup copies of the manuscript, commented-out source files, or auxiliary material not required for compilation.

The submission archive must include:

  • the compiled PDF of the paper (.pdf),
  • the main LaTeX source file (.tex),
  • the bibliography files (.bib and .bbl),
  • all figure files, where applicable (.pdf, .eps, .png, .jpeg, .tiff, .bmp),
  • the completed Camera-Ready Author Checklist (.pdf),
  • the supplementary video (.mp4), if accepted via the decision email.

Camera-ready submissions that do not comply with all requirements may be excluded from the conference proceedings.


How to submit on EasyChair

After preparing your camera-ready manuscript and submission archive as described above, submit your files via EasyChair by following these steps:

  1. Visit ANTS 2026 EasyChair website and log in with your credentials that are associated with the submission.
  2. Choose Role: Author.
  3. Click on the magnifying lens icon in the View column corresponding to your submission.
  4. Click on Add or update files at the top right of the page.
  5. Upload your compressed archive (.zip or .tgz) by clicking on Choose file.
  6. Finalise your submission by clicking on Submit.

Camera-ready submission deadline: February 13, 2026, 23:59:59 (AoE).


3. Transferring copyright

You must fill in and sign the Springer copyright form. The form should be emailed to ants2026@rcps.tu-darmstadt.de with the subject: "Copyright form paper <paper number> - <last name of first author>"

Please make sure to include the following information in the completed form:

  • Proposed Title of the Contribution (i.e., the title of your paper)
  • Author(s) Full Name(s)
  • Corresponding Author Name
  • Handwritten signature in the field "Signed for and on behalf of the Author"
  • Print name (i.e., the name of the signer)
  • Date
  • Address
  • Email

Proceedings and journal special issue

The Proceedings are published by Springer-Nature in their Lecture Notes in Computer Science (LNCS) series.


The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2026 that will contain extended versions of selected research works presented at the conference.

Sponsors

Platinum Sponsors

emergenCity

Bronze Sponsors

Springer Nature Technical University of Darmstadt

Technical Co-Sponsors

RIG

Interested in becoming a sponsor of ANTS 2026? Contact us at ants2026@rcps.tu-darmstadt.de.
Last modified: 13 Nov 2025