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Informations générales |
| Auteur |
Yang, Jianhua; Liu, Yabo; Wu, Zhaohui; Yao, Min |
| Publié |
InTech Open Access Publisher, 2012
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| Abstract |
Evolutionary Robotics (ER) is a methodology
that uses evolutionary computation to develop
controllers for autonomous robots. The existing works
focus on single robot systems or physically
homogenous multi‐robot teams, although physical
heterogeneousness is more prevalent in the real world.
It is therefore instructive to examine whether
cooperative behaviours can be synthesized using
artificial evolution for a team of physically
heterogeneous robots. This paper makes an important
contribution in answering the question of whether
robots with distinct capabilities can synthesize their
control strategies to accommodate their own
capabilities without human intervention. We present an
empirical analysis of the collaboration mechanisms and
suggest guidelines about how to choose appropriate
evolution methods. Simulated experiments with a team
of e‐puck robots show that evolution can lead to
effective controllers for robots with distinct capabilities. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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