LOCOMOTION
Fault detection algorithm for legged walking robot
Filipp Seljanko
- Year
- 2013
- Citations
- 4
Abstract
Current article presents fault detection algorithm for hexapod legged walking robot. This algorithm is based on 360 degree panoramic imaging using catadioptric camera setup. Fault detection is a part of normal operation procedures of a legged robot along with gait generation, gait execution, adjustment to changing conditions, recovery from incidents and overall reconfiguration after loss of leg or legs. Such setup provides low-cost, low-weight solution that decreases the complexity of construction, reduces development time and lowers overall cost of production of a robot.
Keywords
HexapodLegged robotControl reconfigurationRobotCatadioptric systemComputer scienceFault detection and isolationGaitFault (geology)Simulation
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