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Liaoxue Liu

dblp:243/6913 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-3476-2834ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 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 · 70% Robot manipulation · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › manipulator control
cartesian impedance control
0.912025
Command Filtered Cartesian Impedance Control for Tendon Driven Continuum Manipulators with Actuator Fault Compensation · ICRA 2025
Robotics › Motion planning and robot control › robot control › flexible robot control
continuum robot control
0.912025
Command Filtered Cartesian Impedance Control for Tendon Driven Continuum Manipulators with Actuator Fault Compensation · ICRA 2025
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.312025
Command Filtered Cartesian Impedance Control for Tendon Driven Continuum Manipulators with Actuator Fault Compensation · ICRA 2025

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

second-order low-pass filter · 0.9lyapunov stability analysis · 0.9command filtered backstepping · 0.9
YearPublicationVenuePosition
2025 Command Filtered Cartesian Impedance Control for Tendon Driven Continuum Manipulators with Actuator Fault Compensation
abstract
Continuum robots are well-suited for constrained environments due to their superior flexibility and structural compliance. However, relying solely on passive compliance may lead to damage to both the robot and the surrounding environment. This work proposes a finite-time Cartesian impedance control scheme for tendon-driven continuum manipulators (TDCMs), where a second-order low-pass filter is used to adjust the reference trajectory according to the external robot tip force. The controller is designed using the command filtered backstepping method, and the finite-time stability is established by the designed Lyapunov function. In TDCM systems, the tendons operate antagonistically, and actuators often fail to quickly reach the desired tendon tension, leading to partial failures. To address this, we propose an actuator fault compensation algorithm to enhance system performance and reliability. We conducted trajectory tracking experiments on a multi-segment TDCM prototype, the results demonstrate that the designed Cartesian impedance controller achieves effective compliance control effect and high position control accuracy.
Xianjie Zheng, Zhaobao Yu, Liaoxue Liu, Jian Guo 0007, Yu Guo 0013
ICRA4
2024 Post-capture tracking control with fixed-time convergence for a free-flying flexible-joint space robot based on adaptive neural network
Liaoxue Liu, Yuye Lu, Xiutao Gu, Yu Guo 0013
Neural Comput. Appl.1