Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

수동적으로 연결된 미지의 물체의 운동량 관리 통합을 통한 관절형 다리-팔 로봇의 균형유지 전신제어Whole-Body Control for Balancing an Articulated Legged-Arm Robot with the Integration of Momentum Management and a Passively Connected Unknown Object

Other Titles
Whole-Body Control for Balancing an Articulated Legged-Arm Robot with the Integration of Momentum Management and a Passively Connected Unknown Object
Authors
최유신장재필하성민황순웅김완수
Issue Date
Feb-2025
Publisher
한국로봇학회
Keywords
Redundant Robot Control; Legged Mobile Manipulator; Whole Body Control; Hierarchical Optimization; Balancing Control
Citation
로봇학회 논문지, v.20, no.1, pp 112 - 119
Pages
8
Indexed
KCI
Journal Title
로봇학회 논문지
Volume
20
Number
1
Start Page
112
End Page
119
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/125387
DOI
10.7746/jkros.2025.20.1.112
ISSN
1975-6291
2287-3961
Abstract
Maintaining balance is a critical challenge for legged mobile manipulators, especially when unknown objects are passively connected, as they can disrupt overall stability. To address this, we propose a whole-body control framework that incorporates momentum-based management to enhance balance in a torque-controlled quadrupedal manipulator. Our approach integrates momentum regulation directly into the control strategy, enabling the robot to account for the dynamic effects of connected objects without requiring separate control algorithms. This facilitates effective handling of dynamic interactions between the robot’s body and its components. Consequently, the robot’s ability to maintain balance during complex tasks—such as ensuring contact stability and tracking end-effector trajectories—is significantly improved. We demonstrate the effectiveness of this framework through simulations, where an articulated legged-arm robot maintains balance on an incline while tracking a desired trajectory with an object whose center of mass changes dynamically and is suspended from its arm. The proposed controller reduced position RMSE by 88% and Euler angle error by 77%, demonstrating its effectiveness.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF ROBOT ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher KIM, WANSOO photo

KIM, WANSOO
ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE