Kinodynamic Motion Planning for Legged Mobile Manipulator with Large Object's Dynamics

The extension of traditional manipulators' workspace through mobile platforms has broadened the spectrum of potential robotic applications. Legged mobile manipulators, in particular, have garnered increasing attention due to their capability to navigate diverse environments and tackle challenging terrains more effectively than the wheeled counterparts. This study investigates the intricacies of motion planning for legged mobile manipulators in the context of manipulating large objects. Legged manipulators can significantly enhance their ability to manipulate large objects through coordinated movements of their legs and bodies. However, the complexity of this task far surpasses that of ordinary mobile manipulation challenges. To address this complex problem, it is decomposed into two sub-problems, focusing on the dynamics of both the object and the robot. The direct collocation method is used to transform the original problem into nonlinear programming, and suitable initial values are obtained using whole-body inverse kinematics. Finally, we demonstrate robot's ability to perform tasks such as opening a heavy door and putting a tumbled chair upright, thereby illustrating the efficacy and practicality of our approach.

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Publication Details

Journal
Chinese Journal of Mechanical Engineering
Published
2025-10-01
DOI
https://doi.org/10.1016/j.cjme.2025.100106
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Kinodynamic Motion Planning for Legged Mobile Manipulator with Large Object's Dynamics

Guangyu Jia, Yaobin Tian, Liangliang Han, Qikai Li et al.
Chinese Journal of Mechanical Engineering
Robotic Locomotion and Control
article

Kinodynamic Motion Planning for Legged Mobile Manipulator with Large Object's Dynamics

Guangyu Jia, Yaobin Tian, Liangliang Han, Qikai Li, M M P Dan, Xilun Ding, Kun Xu
article en

Abstract

The extension of traditional manipulators' workspace through mobile platforms has broadened the spectrum of potential robotic applications. Legged mobile manipulators, in particular, have garnered increasing attention due to their capability to navigate diverse environments and tackle challenging terrains more effectively than the wheeled counterparts. This study investigates the intricacies of motion planning for legged mobile manipulators in the context of manipulating large objects. Legged manipulators can significantly enhance their ability to manipulate large objects through coordinated movements of their legs and bodies. However, the complexity of this task far surpasses that of ordinary mobile manipulation challenges. To address this complex problem, it is decomposed into two sub-problems, focusing on the dynamics of both the object and the robot. The direct collocation method is used to transform the original problem into nonlinear programming, and suitable initial values are obtained using whole-body inverse kinematics. Finally, we demonstrate robot's ability to perform tasks such as opening a heavy door and putting a tumbled chair upright, thereby illustrating the efficacy and practicality of our approach.

Chinese Journal of Mechanical Engineering
Beijing Dance Academy (CN), Shanghai Institute of Technology (CN), Beihang University (CN)
Openalex Percentile: Top 37%
Robotic Locomotion and Control
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