DocumentCode :
349041
Title :
An approach to anthropomorphic robotics: guidelines and experiments
Author :
Taddeucci, D. ; Dario, P. ; Ansari, E.
Author_Institution :
Scuola Superiore Sant´´Anne, Pisa, Italy
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
537
Abstract :
If we could obtain robots which act as humans, does this imply that both have the same structure and are made of the same “substance”? The paper addresses this open question by implementing a basic robotic motor task using anthropomorphic hardware and an anthropomorphic computational approach. Two different algorithms implementing reinforcement learning both at a psychological and bio-mimetic level are presented and discussed. The performance achieved during the experimental trials suggests that similar performance can be achieved by the formal mathematical model of reinforcement learning and by the locally bio-mimetic architecture. This is very promising for the achievement of the adaptability, versatility and flexibility required of a humanoid, whilst still at acceptable levels of computational burden
Keywords :
biomimetics; feedforward neural nets; learning (artificial intelligence); mobile robots; multilayer perceptrons; anthropomorphic robotics; biomimetic level; humanoid; psychological level; reinforcement learning; robotic motor task; Anthropomorphism; Biological neural networks; Cognitive robotics; Guidelines; Humanoid robots; Humans; Intelligent robots; Learning; Psychology; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on
Conference_Location :
Kyongju
Print_ISBN :
0-7803-5184-3
Type :
conf
DOI :
10.1109/IROS.1999.813059
Filename :
813059
Link To Document :
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