2008 IEEE International Conference on Mechatronics and Automation 2008
DOI: 10.1109/icma.2008.4798729
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An emotion-based task sharing approach for a cooperative multiagent robotic system

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Cited by 13 publications
(12 citation statements)
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“…if h=1 the robot explores the environment by the above walking rules; 18) else if w=1 the robot explores the environment by the coordination strategy composed of revised single-linkage clustering and rules; 19) else if s=1 the robot explores the unexplored island by the walking rules; 20)…”
Section: Bidding Coordination Algorithm With Cfc and Emotion Switchmentioning
confidence: 99%
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“…if h=1 the robot explores the environment by the above walking rules; 18) else if w=1 the robot explores the environment by the coordination strategy composed of revised single-linkage clustering and rules; 19) else if s=1 the robot explores the unexplored island by the walking rules; 20)…”
Section: Bidding Coordination Algorithm With Cfc and Emotion Switchmentioning
confidence: 99%
“…17 An emotion-based task sharing approach for a cooperative multi-agent robotic system is given in ref. [18]. The emotion plays an important role while making a cooperative plan for the room cleaning tasks.…”
Section: Introductionmentioning
confidence: 99%
“…Their experiments showed that the robot could provide more humanlike communications to users based on the emotional model. Banik et al [17] demonstrated an emotion-based task sharing approach to a cooperative multiagent robotic system. Their approach can give a robot a kind of personality through the accumulation of past emotional experience.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [7] define a hybrid approximation for multi-robot systems; work [8] proposes an algorithm based on the human immunological system for the cooperative transportation of objects. Other works have added emotions to the robots in the system; in [9,10,11,12,13] are specified emotions in multi-robot systems, to consider the influence of them in the decision making of each robot. On the other hand, the learning and recognition also have been analyzed in multi-robot systems [14,15].…”
Section: Introductionmentioning
confidence: 99%