Full Description
This book constitutes the proceedings of the 15th International Conference on Swarm Intelligence, ANTS 2026, which took place in Darmstadt, Germany, during June 8-10, 2026.
The 21 full papers and 21 short papers included in this book were carefully reviewed and selected from 93 submissions. The proceedings also include13 extended abstracts which can be found in the back matter of the book.
The ANTS 2026 proceedings focus on advances in the field of swarm intelligence presenting significant, original research from researchers and practitioners of any area related to swarm intelligence. The theme of the 2026 proceedings is "reaching beyond - swarm intelligence across systems, disciplines, and communities"
Contents
Full Papers.- A Fast Distributed Algorithm for Breakage Detection in Modular Robots.- A Micro-Macro Model of Encounter-Driven Information Diffusion in Robot Swarms.- A Social Interaction Model for Forager Task Allocation in Honey Bees.- AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning.- Bigraphical Model Checking for Coordinated Drone Landings on Vertiports.- Closing the Loop Between BEECLUST and Honeybee Thermotaxis.- Convergence and Running Time of Time-dependent Ant Colony Algorithms.- Decoding Spatial and Temporal Influence in Collective Behavior Using Information Theory.- Distributed MPC for Connectivity-Constrained Fixed-Wing Aerial Swarms.- Distributed Multi-Coverage for Robot Swarms.- Emergent In-group Bias: Sociality and Individuation in Robotic Swarms.- Energy-Effcient Flocking in Self-Organized Robot Swarms.- Marine Surface Vehicle Formations in Confined Environments.- Mitigating Latency and Partitioning Through Size Regulation in Blockchain-Enabled Robot Swarms.- Multi-Agent Reinforcement Learning of a Fault-Robust Controller in an Intralogistics Robot Swarm.- Multi-Robot Visibility-Based Connected Exploration.- Plyo: AI-Assisted Lightning-Fast Communication for Robot Swarms.- ROS-2-ARGoS Bridge: Scalable Simulations of Swarms of 1000 and More Robots.- Ten Years of the Collective Perception Benchmark in Swarm Robotics: Achievements and Challenges.- Tumblenauts: Towards a Bacteria-Inspired Robot Swarm for Intra-Vehicular Space Inspection.- Warmth and Competence in the Swarm: Designing Effective Human-Robot Teams.- Short Papers.- Active Elastic Matter: 3D Collective Motion for Swarms.- Adaptive Multi-Robot Herding via Dynamic Risk-Aware Angular Repositioning.- Decentralized Multi-Robot Coverage of Hemispherical Surfaces via Fortune-Based Partitioning.- Distributed Analytic Center Selection for Resilient Control of Multi-robot Systems with Imperfect Communication Channels.- Escaping the Trap: Benchmarking Swarm Gradient-following in Geometrically Constrained Environments.- FDA Flocking: Future Direction-Aware Flocking via Velocity Prediction.- FORMICA: Decision-Focused Learning for Communication-Free Multi-Robot Task Allocation.- From Pheromones to Policies: Reinforcement Learning for Engineered Biological Swarms.- GMM-PACO: Gaussian Mixture Models and Pareto-based Ant Colony Optimization for Multi-Objective Feature Selection.- Heterogeneous Visco-Elastic Cyber-Physical Swarm Exploration
Algorithm in an Unknown Environment.- How Swarms Differ: Challenges in Collective Behaviour Comparison.- Knowledge Distillation-Driven Federated Learning as a Service for Resource-Constrained Edge Intelligence.- Modeling Information Propagation in Robot Swarms Through Epidemiological Models.- On the Cost of Evolving Task Specialization in Multi-Robot Systems.- Online Self-Calibration of Robotic Swarm Motility Phases via Social Learning with Fast Transmission.- Re-Solving the Shepherding Problem: Lead When Possible, Herd When Necessary.- Scalable Foraging: A Paired Body and Controller Design for Foraging Robots.- Split Over n Resource Sharing Problem: Are Fewer Capable Agents Better Than Many Simpler Ones.- Swarming from Vision Data Only: A Comparative Study of Imitation and Reinforcement Learning.- User-Centred Design of Multi-UAV Swarm Interfaces for Firefighting UAVs.- When Small Differences Matter: How Small Differences Create Leaders in Flocking Swarms.
