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Co-Evolutionary Algorithm for Motion Planning of Two Industrial Robots with Overlapping Workspaces : Algoritmo co-evoluzionario per la pianificazione del moto di due robot industriali con spazi di lavoro sovrapposti, in: International Journal of Advanced Robotic Systems

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Autore Curkovic, Petar; Jerbic, Bojan; Stipancic, Tomislav
Pubblicato  InTech Open Access Publisher, 2013
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Abstract A high level of autonomy is a prerequisite for
achieving robotic presence in a broad spectrum of work
environments. If there is more than one robot in a given
environment and the workspaces of robots are shared, then
the robots present a dynamic obstacle to each other, which
is a potentially dangerous situation. This paper deals with
the problem of motion planning for two six‐degrees‐offreedom
(DOF) industrial robots whose workspaces
overlap. The planning is based on a novel hall of fame ‐
Pareto‐based co‐evolutionary algorithm. The modification
of the algorithm is directed towards speeding‐up coevolution,
to achieve real‐time implementation in an
industrial robotic system composed of two FANUC
LrMate 200iC robots. The results of the simulation and
implementation show the great potential of the method in
terms of convergence, robustness and time.
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Articoli a Rivista
2000 ed oltre
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Autore: 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, [...]
Pubblicato: 2004
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Documents: International Journal of Advanced Robotic Systems
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Time of publication 2013
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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