HubRobo: A Lightweight Multi-Limbed Climbing Robot for Exploration in Challenging Terrain
Kentaro Uno, Naomasa Takada, Taku Okawara, Keigo Haji, Arthur Candalot, Warley F. R. Ribeiro, Kenji Nagaoka, Kazuya Yoshida
- 发表年份
- 2021
- 引用次数
- 30
摘要
This study presents the design and sequential control strategies of a novel lightweight climbing robot. The quadruped robot with a left–right and front–hind symmetric insect-type configuration has three degrees of freedom (3-DOF) actuated joints in each limb, a 3-DOF passive compliant spine gripper at each foot, and an actuator to open/close the gripper. First, we present the mechanical design and minimal hardware integration of the robot, which have helped successfully reduce the entire mass of the robot to 3 kg with a base height of 0.16 m. Next, a sequential strategy to process stable climbing locomotion is introduced. The implemented software architecture that realizes climbing motion is described. With the successful result of a teleoperation experiment on an indoor test field simulating the Martian uneven slalom (local max. inclination: 45°), we proved that the proposed sequential control strategy enables the robot to stably climb challenging terrain.
关键词
相关论文
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