Vision-based robot hand using open source software

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Ryusuke Kubozono, Yunan He, Osamu Fukuda, Nobuhiko Yamaguchi, Hiroshi Okumura, Anik Nur Handayani

2020 4th International Conference on Vocational Education and Training, ICOVET 2020 Conference paper Cited by 1 Quartile

Abstract

The robot hand can plan grasp movements based on the position of the target object and the motion of the robot hand. The position of the target object is recognized from the image captured by a camera mounted on the robot arm, and the motion of the robot hand is estimated from the inertial measurement unit (IMU). We also adopt a variety of mechanisms to determine the target object among the objects detected in the camera scene. Experiments are conducted to verify the validity of control system. The experiments proved that the developed system can support the user to grasp the target object. © 2020 IEEE.

Affiliations

Saga University, School of Science and Engineering, Saga, 840-8502, Japan; Universitas Negeri Malang, Dept. Electrical Engineering, Malang, Indonesia