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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 …
designing the individual behavior of the robots so that a desired collective behavior emerges …
AutoMoDe-Mate: automatic off-line design of spatially-organizing behaviors for robot swarms
FJ Mendiburu, DG Ramos, MRA Morais… - Swarm and Evolutionary …, 2022 - Elsevier
We present Mate, an automatic off-line design method specialized in the design of spatially-
organizing behaviors for robot swarms. Mate belongs to the family of modular methods …
organizing behaviors for robot swarms. Mate belongs to the family of modular methods …
Transferability in the automatic off-line design of robot swarms: from sim-to-real to embodiment and design-method transfer across different platforms
Automatic off-line design is an attractive approach to implementing robot swarms. In this
approach, a designer specifies a mission to be accomplished by the swarm, and an …
approach, a designer specifies a mission to be accomplished by the swarm, and an …
Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race
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 …
designer specifies a mission that the swarm must perform, and an optimization algorithm …
Toward an empirical practice in offline fully automatic design of robot swarms
Due to the lack of systematic empirical analyses and comparisons of ideas and methods, a
clearly established state of the art is still missing in the optimization-based design of robot …
clearly established state of the art is still missing in the optimization-based design of robot …
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Energy management systems (EMS) have traditionally been implemented using rule-based
control (RBC) and model predictive control (MPC) methods. However, recent research has …
control (RBC) and model predictive control (MPC) methods. However, recent research has …
Automatic modular design of behavior trees for robot swarms with communication capabilites
In this work, we develop a set of behavioral and conditional modules for the use with
behavior trees. We present AutoMoDe-Cedrata, an automatic modular design method that …
behavior trees. We present AutoMoDe-Cedrata, an automatic modular design method that …
AutoMoDe-Cedrata: Automatic Design of Behavior Trees for Controlling a Swarm of Robots with Communication Capabilities
Behavior trees are a control architecture that has gained recent attention in AI and robotics.
Previous research on the use of behavior trees in swarm robotics has shown the necessity …
Previous research on the use of behavior trees in swarm robotics has shown the necessity …
Enhancing Autonomous Underwater Vehicle Decision Making through Intelligent Task Planning and Behavior Tree Optimization
D Yu, H Wang, X Cao, Z Wang, J Ren… - Journal of Marine Science …, 2024 - mdpi.com
The expansion of underwater scenarios and missions highlights the crucial need for
autonomous underwater vehicles (AUVs) to make informed decisions. Therefore …
autonomous underwater vehicles (AUVs) to make informed decisions. Therefore …
[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 …
Robots in a swarm must be autonomous and are usually individually programmed …