Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Qinchen Meng

dblp:383/4673 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 61% Robot manipulation · 30% Legged, aerial and field robots · 9%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › mobile manipulation
legged manipulation
0.812024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Robot manipulation
mobile manipulation
0.812024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Motion planning and robot control › robot control
model predictive control
0.812024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Motion planning and robot control › robot control › model predictive control
nonlinear model predictive control
0.812024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Motion planning and robot control
robot control
0.812024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Motion planning and robot control
whole-body control
0.812024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Legged, aerial and field robots
legged robots
0.212024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped locomotion
0.212024
Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024

Methods — techniques the papers use, named apart from their topics

wrench estimation · 0.8nonlinear model predictive control · 0.8impedance control · 0.8
YearPublicationVenuePosition
2024 Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach
abstract
Legged mobile manipulators are receiving much more attention. Mobile platforms can infinitely expand the workspace of robotic arms, providing more possibilities for robot application scenarios. Compared with wheeled mobile manipulators, legged mobile manipulators have higher requirements for cooperative control of legged robots and robotic arms. This work decouples the control of the robotic arm and the legged robot. On the legged robot side, we explicitly estimate the wrench exerted by the robotic arm on the base and bring it into the legged robot’s dynamics, and then use a nonlinear model predictive controller (NMPC) to control the legged robot. On the robotics arm side, we adopt an impedance controller to realize the end-effector’s force control, and the introduction of impedance control has improved the safety and interactivity of legged mobile manipulators. We conducted experiments on physical robot to compare the differences between decoupled control and independent control, and the results show that the stability and robustness of robot systems have improved using decoupled control.
Qikai Li, Qinchen Meng, Yuxing Qin, Xilun Ding, Kun Xu 0007
ICRA2