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化工系膜中心学术论坛-MOF Chemistry: From design strategies to Applications
清华大学材料科学与工程研究院《材料科学论坛》学术报告:Multi-aspect characteri...
Brain-like spiking neural networks: A 4th generation of neural network models
报告题目:
Modeling and Control of Multi-Locomotion Robots
 报告人:
Toshio FUKUDA – Japan
报告时间:
2006-10-06 13:00
报告地点:
清华大学FIT楼二楼多功能厅
主办单位:
清华大学计算机科学与技术系
  简介:

Abstract-We have developed the Multi-Locomotion Robots (MLR), which aims at the realization of the different locomotion capabilities, depending on the environment and situations of the robot. The MLR has the different locomotion modes, such as biped, quadrupped and brachiation locomotions. In the biped locomotion, the robot has the control scheme of Passive Dynamic Autonomous Control ( PDAC ), so that robot can walk passively rather than the actively. As a result, robot can save more energy and walk longer. Quadrupped locomotion has some locomotion modes, such as crawl, pace and trot, chosen by the tradeoff of locomotion speed and consumed energy. Brachiationlocomotion is also unique moving by branching from one to another. MLR's goal is to integrate all locomotion modes by accomodating the different environment and robot situations.

Biography :

Toshio FUKUDA is the Vice President of IEEE Industrial Electronics Society and IEEE Nanotechnology Council President. He is a Fellow of IEEE.

 

http://cesa2006.ec-lille.fr

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