The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 1A1-K11
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Gripping State Estimation of a Legged Climbing Robot Using a Gripper with Built-in Sensors
*Takuya KATOKentaro UNOKazuya YOSHIDA
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Abstract

In recent years, skylights, which are vertical holes thought to be the entrances to lava tubes, have been discovered on the lunar surface. Although the robotic exploration inside there is essential for the deep understanding of the lunar geological history, however, conventional wheeled mobile robots are unable to traverse such steep and rocky terrain. For this challenge, We have developed a quadrupedal climbing robot with spine-type grippers that is able to hold such terrain and experimentally demonstrated autonomous operation in a known simulated environment. In order to achieve the autonomous operation in an unknown environment, the robot is required to grip the target rock by its gripper reliably. In this paper, we developed a gripper with a built-in force/torque sensor and IMU and investigated the gripping performance against the different directions of the external force. Based on that, we architect the secure gripping sequence.

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© 2022 The Japan Society of Mechanical Engineers
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