Recent trends in robot learning and evolution for swarm robotics

J Kuckling - Frontiers in Robotics and AI, 2023 - frontiersin.org
Swarm robotics is a promising approach to control large groups of robots. However,
designing the individual behavior of the robots so that a desired collective behavior emerges …

Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system

KL Keung, YY Chan, KKH Ng, SL Mak, CH Li… - Advanced Engineering …, 2022 - Elsevier
The agnostic robotic paradigm (ARP) represents a recent development as the use of robots
becomes more common, and there is a need for agnostic robots to cope with rich artificial …

Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search

K Hasselmann, A Ligot, M Birattari - Swarm and Evolutionary Computation, 2023 - Elsevier
Several methods have already been proposed to automatically design control software for
robot swarms by assembling predefined modules. Yet, so far, the modules on which these …

Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race

D Garzón Ramos, F Pagnozzi, T Stützle… - Advanced Intelligent …, 2025 - Wiley Online Library
Automatic design is an appealing approach to realizing robot swarms. In this approach, a
designer specifies a mission that the swarm must perform, and an optimization algorithm …

QED: Using quality-environment-diversity to evolve resilient robot swarms

DM Bossens, D Tarapore - IEEE Transactions on Evolutionary …, 2020 - ieeexplore.ieee.org
In quality-diversity algorithms, the behavioral diversity metric is a key design choice that
determines the quality of the evolved archives. Although behavioral diversity is traditionally …

AutoMoDe-arlequin: neural networks as behavioral modules for the automatic design of probabilistic finite-state machines

A Ligot, K Hasselmann, M Birattari - International Conference on Swarm …, 2020 - Springer
We present Arlequin, an off-line automatic design method that produces control software for
robot swarms by combining behavioral neural-network modules generated via neuro …

The impact of morphological diversity in robot swarms

S Mkhatshwa, G Nitschke - Proceedings of the Genetic and Evolutionary …, 2023 - dl.acm.org
In nature, morphological diversity enhances functional diversity, however, there is little
swarm (collective) robotics research on the impact of morphological and behavioral (body …

[PDF][PDF] The automatic off-line design of robot swarms: recent advances and perspectives

DG Ramos, D Bozhinoski, G Francesca… - … Robotics Research for …, 2021 - iridia.ulb.ac.be
The information provided is the sole responsibility of the authors and does not necessarily
reflect the opinion of the members of IRIDIA. The authors take full responsibility for any …

[PDF][PDF] Advances in the automatic modular design of control software for robot swarms. Using neuroevolution to generate modules

K Hasselmann - 2023 - researchgate.net
In swarm robotics, the design problem is one of the most pressing issues of today's research.
Robots in a swarm must be autonomous and are usually individually programmed …

A quality-diversity approach to evolving a repertoire of diverse behaviour-trees in robot swarms

K Montague, E Hart, G Nitschke, B Paechter - International Conference on …, 2023 - Springer
Designing controllers for a swarm of robots such that collaborative behaviour emerges at the
swarm level is known to be challenging. Evolutionary approaches have proved promising …