The Learning Cobot
E.S. Boy, Etienne Burdet, C.L. Teo, J. Edward Colgate
- 发表年份
- 2002
- 引用次数
- 9
摘要
Cobots (COllaborative roBOTS) are passive devices that assist humans by guiding motion along software-defined paths. This paper introduces intuitive and efficient tools to design such paths. The operator creates a guiding path by walk-through path programming, tracing a path in free mode. A B-spline fit to this path becomes the guideway. The operator can locally define and modify the B-spline guiding path by moving the control points on a dedicated graphical user interface using a computer mouse. During movement, the operator avoids obstacles and handles sensing errors by using the elastic path planner to deviate from the guiding path. Collaborative learning lets the operator optimize a guiding path in a few tries to adapt it to the specific task and environment. These tools have been implemented and extensively tested on the Scooter cobot.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991