An Anthropomorphic Robotic Platform for Progressive and Adaptive Sensorimotor Learning
| Autor: | Cecilia Laschi, Yves Burnod, G. Teti, Marc A. Maier, Eugenio Guglielmelli, Loredana Zollo, Selim Eskiizmirliler |
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| Rok vydání: | 2008 |
| Předmět: |
Engineering
business.industry media_common.quotation_subject Motor control Robotics Sensorimotor learning Mechatronics Adaptability Computer Science Applications Human-Computer Interaction Sensorimotor control Hardware and Architecture Control and Systems Engineering Human–computer interaction Robot Adaptive learning Artificial intelligence business Software media_common |
| Zdroj: | Advanced Robotics. 22:91-118 |
| ISSN: | 1568-5535 0169-1864 |
| DOI: | 10.1163/156855308x291854 |
| Popis: | In recent years, advances and improvements in engineering and robotics have in part been due to strengthened interactions with the biological sciences. Robots that mimic the complexity and adaptability of biological systems have become a central goal in research and development in robotics. Usually, such a collaboration is addressed to a 2-fold perspective of (i) setting up anthropomorphic platforms as test beds for studies in neuroscience and (ii) promoting new mechatronic and robotic technologies for the development of bio-inspired or humanoid high-performance robotic platforms. This paper provides a brief overview of recent studies on sensorimotor coordination in human motor control and proposes a novel paradigm of adaptive learning for sensorimotor control, based on a multi-network high-level control architecture. The proposed neurobiologically inspired model has been applied to a robotic platform, purposely designed to provide anthropomorphic solutions to neuroscientific requirements. The goal of thi... |
| Databáze: | OpenAIRE |
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