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Publikováno v:
In Robotics and Computer-Integrated Manufacturing June 2023 81
Autor:
Duarte, Miguel, Costa, Vasco, Gomes, Jorge, Rodrigues, Tiago, Silva, Fernando, Oliveira, Sancho Moura, Christensen, Anders Lyhne
Publikováno v:
PLoS ONE 11(3), 2016, pp. e0151834
Swarm robotics is a promising approach for the coordination of large numbers of robots. While previous studies have shown that evolutionary robotics techniques can be applied to obtain robust and efficient self-organized behaviors for robot swarms, m
Externí odkaz:
http://arxiv.org/abs/1511.03154
We define the nervous system of a robot as the processing unit responsible for controlling the robot body, together with the links between the processing unit and the sensorimotor hardware of the robot - i.e., the equivalent of the central nervous sy
Externí odkaz:
http://arxiv.org/abs/1505.07050
Autor:
Christensen, Anders Lyhne
In this dissertation, we study two new approaches to fault detection for autonomous robots. The first approach involves the synthesis of software components that give a robot the capacity to detect faults which occur in itself. Our hypothesis is that
Publikováno v:
Swarm Intelligence; Sep2024, Vol. 18 Issue 2/3, p167-185, 19p
Publikováno v:
International Conference on the Synthesis and Simulation of Living Systems (ALife). pp. 212-219. MIT Press (2014)
Evolutionary techniques driven by behavioural diversity, such as novelty search, have shown significant potential in evolutionary robotics. These techniques rely on priorly specified behaviour characterisations to estimate the similarity between indi
Externí odkaz:
http://arxiv.org/abs/1407.0577
Publikováno v:
Parallel Problem Solving from Nature (PPSN). vol. 8672 LNCS. pp. 233-242. Springer (2014)
One of the main motivations for the use of competitive coevolution systems is their ability to capitalise on arms races between competing species to evolve increasingly sophisticated solutions. Such arms races can, however, be hard to sustain, and it
Externí odkaz:
http://arxiv.org/abs/1407.0576
Publikováno v:
Genetic and Evolutionary Computation Conference (GECCO). pp. 199-206. ACM Press (2013)
Novelty search has shown to be a promising approach for the evolution of controllers for swarm robotics. In existing studies, however, the experimenter had to craft a domain dependent behaviour similarity measure to use novelty search in swarm roboti
Externí odkaz:
http://arxiv.org/abs/1304.3393
Publikováno v:
Swarm Intelligence 7 (2-3). pp. 115-144 (2013)
Novelty search is a recent artificial evolution technique that challenges traditional evolutionary approaches. In novelty search, solutions are rewarded based on their novelty, rather than their quality with respect to a predefined objective. The lac
Externí odkaz:
http://arxiv.org/abs/1304.3362