SURGICAL
Robot Dynamics Identification: A Reproducible Comparison With Experiments on the Kinova Jaco
Giacomo Golluccio, Giuseppe Gillini, Alessandro Marino, Gianluca Antonelli
- Year
- 2020
- Citations
- 32
- Access
- Open access
Abstract
Identifying the dynamic parameters of robots is a longstanding topic in robot control, and, recently, research in the area witnessed a renewal of activity. This is motivated by the high performance required for model-based control of, for example, legged or surgical robots and the need to obtain realistic simulations of such systems.
Keywords
RobotIdentification (biology)Computer scienceDynamics (music)Control engineeringMobile robotArtificial intelligenceRobot controlSimulationEngineering
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