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A unified modeling and trajectory planning method based on system manipulability for the operation process of the legged locomotion manipulation system

Published online by Cambridge University Press:  17 April 2023

Peng Kang Open the ORCID record for Peng Kang [Opens in a new window] ,
Haibin Meng  and
Wenfu Xu
Peng Kang
Affiliation:
School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Haibin Meng
Affiliation:
School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Wenfu Xu*
Affiliation:
School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics, Shenzhen, China
*
*Corresponding author. E-mail: wfxu@hit.edu.cn
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Abstract

Flexibility is one of the most significant advantages of legged robots in unstructured environments. However, quadruped robots cannot interact with environments to complete some manipulation tasks. One effective way is to load a manipulation arm. In this paper, we exhibit a quadruped locomotion manipulation system (LMS) named HITPhanT. This system comprises a quadruped locomotion platform and a six-degree-of-freedom manipulation arm. Besides, when the LMS moves to a designated position for operation, it is necessary to constrain the foot contact points to avoid sliding. Therefore, the foot contact point is regarded as a spherical hinge. So the locomotion platform can be considered as a parallel mechanism. A hybrid kinematics model is established by considering the serial robotic arms connecting this parallel mechanism. Besides, the trajectory planning method, which improves the system’s manipulability in evaluating the system balance, is also proposed. Finally, corresponding experiments verify the overall system’s stabilization and algorithm’s effectiveness.

Keywords

trajectory planninglocomotion manipulation systemstabilitymanipulability
Type
Research Article
Information
Robotica , Volume 41 , Issue 7 , July 2023 , pp. 2139 - 2154
Copyright
© The Author(s), 2023. Published by Cambridge University Press

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