Recursive Algorithm for Motion Primitive Estimation
The need for knowing future manipulator motion arises in several robotics applications, including notification or avoidance of imminent collisions and real-time optimization of velocity commands. This paper presents a real-time, low overhead algorithm for identification of future manipulator motions, based on measurements of prior motions and the instantaneous sensed actuator velocity commanded by an operator. Experimental results with a human-controlled, two degreeof- freedom manipulator demonstrate the ability to quickly learn and accurately estimate future manipulator motions.
Aaron R. Enes Wayne J. Book
Technical Staff,MIT Lincoln Laboratory HUSCO/Ramirez Distinguished Chair of Fluid Power and Motion Control at Georgia Tech
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
5837-5842
2011-05-09(万方平台首次上网日期,不代表论文的发表时间)