MANIPULATION
Estimating the friction parameters of pushed objects
Kevin Lynch
- Year
- 2002
- Citations
- 63
Abstract
In order to plan manipulation of an object by pushing, a robot must have a model of the geometry and the friction properties of the object. This paper presents an approach to estimating the relevant friction parameters by performing experimental pushes and observing the resultant motion. Recognition of objects based on their friction parameters is also explored.
Keywords
Object (grammar)Computer scienceComputer visionMotion (physics)RobotPlan (archaeology)Artificial intelligenceFriction coefficientGeologyMaterials science
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
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002