Tianshu Wang
Papers
7
Total Citations
74
H-Index
6
About
Tianshu Wang’s research lies at the intersection of space robotics, manipulation, and dynamic locomotion, with a focus on solving complex control and planning problems. His major contributions include pioneering inverse kinematics methods for space robots with controlled-floating bases, where momentum conservation no longer holds, and developing strategies to minimize base attitude disturbance during target capture—critical for on-orbit servicing. Wang also advanced passive dynamic walking, analyzing how parameter variations affect gait stability in bipedal robots, and proposed pre-impact configuration designs to reduce collision forces in robotic manipulation. His work on obstacle avoidance for redundant manipulators introduced a computationally efficient backward quadratic search algorithm, and he explored human-robot interaction through multi-sensor teleoperation. With over 70 citations across his most-cited papers, Wang’s research has practical implications for space missions, industrial automation, and legged robotics. Notably, his 2025 work on multi-point collision dynamics for multi-legged robots signals ongoing innovation in contact-rich environments. Wang’s contributions are essential reading for researchers in space robotics, manipulation, and dynamic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7