Energy-efficient narrow wall climbing of six-legged robot
Kenichi Ohara, Takeshi Toda, Kazuto Kamiyama, Masaru Kojima, Mitsuhiro Horade, Yasushi Mae, Tatsuo Arai
- Year
- 2018
- Citations
- 5
- Access
- Open access
Abstract
In this paper, we propose two gait strategies for a limb mechanism robot, called ASTERISK, to move on narrow spaces. Specifically, we describe two types of locomotion, namely, vertical-body climbing gait and horizontal-body climbing gait, that the robot uses to climb on two parallel walls. The proposed strategies are verified through both simulations and experiments on an actual robot. Moreover, to reduce power consumption during locomotion, we employ a power efficiency model based on the pose of the robot and its limbs. The simulation and experimental results confirm the effectiveness of proposed gait strategies.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002