Intelligent Robot Motion using Fuzzy Logic-Based CTP and Artificial Neural Networks

摘要：

Human has some perception based behavior seen in his body movements. Movements of hands, legs, head, etc show foe inner emotion of the person in specific situations subconsciously. This paper introduces a Generalized Constraint Language (GCL) for humanoid robots to categorize data needed for trajectory tracking for each joint of the robot which lead to emotion mimicry. An Artificial Neural Network generates velocity and acceleration for each joint of humanoid using GCL values. A concept that plays a key role in emotion mimicry with CTP is GCL.

关键词： Emotion fuzzy GCL humanoid robot

作者: Mohsen Davoudi Mehdi Davoudi

作者单位: Department of Electrical Engineering, Abhor Azad University, Abhor, Iran Department of Electrical Engineering, Imam Hossein University

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 669-674

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）