Loco-Manipulation Control for Arm-Mounted Quadruped Robots: Dynamic and Kinematic Strategies

Author:

Xin GuiyangORCID,Zeng Fanlian,Qin KairongORCID

Abstract

The studies on quadruped robots equipped with arms are still rare at the moment. The interaction between the arm and the quadrupedal platform needs to be handled by whole-body controllers. This paper presents an optimization-based dynamic whole-body controller to solve the problem of when the robot stands still for manipulation. In order to reduce the strong interaction when the robot is trotting, we keep using the whole-body controller to handle locomotion control and resort to joint PD controllers for the arm’s manipulation coupled with the mobile base on the kinematic level. Simulation results validate the expected locomotion and manipulation functionalities in both manipulation mode and loco-manipulation mode. The proposed control strategies are able to use the redundancy to perform multiple tasks in a dynamic system as such with 24 degrees of freedom.

Funder

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Whole-Body Control Loco-manipulation strategy for quadruped robots on deformable terrains;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

2. Hierarchical Optimization-based Control for Whole-body Loco-manipulation of Heavy Objects;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Learning Whole-Body Manipulation for Quadrupedal Robot;IEEE Robotics and Automation Letters;2024-01

4. Robotic Arm Development for a Quadruped Robot;Lecture Notes in Networks and Systems;2024

5. Optimal Control of Quadruped Robot Using HQP-Based Virtual Model Control;2023 China Automation Congress (CAC);2023-11-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3