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Energy-efficient narrow wall climbing of six-legged robot

Kenichi Ohara, Takeshi Toda, Kazuto Kamiyama, Masaru Kojima, Mitsuhiro Horade, Yasushi Mae, Tatsuo Arai

发表年份
2018
引用次数
5
访问权限
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摘要

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.

关键词

ClimbClimbingRobotGaitComputer scienceSimulationRobot locomotionMechanism (biology)EngineeringArtificial intelligence

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