MANIPULATION
Heuristic learning for lasso robot
Takanori Shibata, T. Kaneko, K. Komoriya, K. Tanie, Haruhisa Kawasaki
- Year
- 2005
- Citations
- 2
Abstract
This paper proposes a lasso robot system which has a very light and flexible manipulator and whose workspace is very wide. This system is an approach to solve problems of the conventional rigid manipulator The important point of the system is how to control. For the controller, this paper applies a heuristic method and a learning control while mimicking human behavior. They are based on trial and error. Simulations are performed to show the effectiveness of the heuristic method for the lasso robot.
Keywords
HeuristicLasso (programming language)WorkspaceRobotComputer scienceArtificial intelligencePoint (geometry)Controller (irrigation)Control engineeringMathematics
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
Open access📊 20,501 cites
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991