Papers
11
Total Citations
238
H-Index
6
About
Tianliang Liu is a leading researcher in the field of robotics, specializing in the design, motion planning, and control of hyper-redundant and cable-driven manipulators for complex environments, including space and marine applications. His most cited work, "End-effector pose and arm-shape synchronous planning methods of a hyper-redundant manipulator for spacecraft repairing" (76 citations), addresses the critical challenge of operating in confined, unstructured spaces like those encountered during on-orbit services. Liu’s major contributions include pioneering cable-driven redundant spatial manipulators with improved stiffness and load capacity, as detailed in his 2018 paper (46 citations), and developing coordinated resolved motion control for dual-arm manipulators (35 citations). His research also extends to biomimetic snake-like robots for exploration and amphibious robots for rescue missions, demonstrating versatility across terrestrial, aquatic, and extraterrestrial domains. With over 200 total citations, Liu’s work has significantly advanced the practicality of robots in hazardous environments. Notable achievements include the TRX-Hand5, an anthropomorphic hand with integrated tactile feedback for human-like grasping, and a robust model predictive controller for tactile servoing, showcasing his commitment to enhancing robot dexterity and safety in human environments.
Research Focus
Key Achievements
Top Papers
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- 6A Robust Model Predictive Controller for Tactile Servoing6 citations · 2024
- 7A Small Intelligent Amphibious Robot: Design, Analysis and Experiment6 citations · 2018
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- 9Biomimetic Snake Robot in Complex Marine Medical Rescue Application3 citations · 2018
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