Zehao Liu
Papers
1
Total Citations
10
H-Index
1
About
Zehao Liu is a robotics researcher whose work focuses on bio-inspired locomotion and path planning for soft-bodied robots, particularly worm-like systems. His key contributions lie in developing novel control strategies that enable these flexible robots to navigate complex, confined environments. Liu’s most cited paper, “Obstacle Avoidance Path Planning for Worm-like Robot Using Bézier Curve” (2021, 10 citations), introduces an elegant method for generating smooth, collision-free trajectories by leveraging the mathematical properties of Bézier curves. This approach addresses a critical challenge in soft robotics: how to coordinate body deformation for effective movement through pipes, rubble, or medical conduits like the colon. By combining geometric path planning with the unique kinematics of worm-like locomotion, Liu’s work has practical implications for search-and-rescue operations and minimally invasive medical procedures. His research bridges theoretical robotics and real-world applications, demonstrating how bio-inspired design can overcome the constraints of rigid-body robots. With a growing citation record, Liu is establishing himself as a rising voice in soft robotics, contributing to a future where adaptable, shape-changing machines can access the most inaccessible spaces.
Research Focus
Key Achievements
Top Papers
- 1Obstacle Avoidance Path Planning for Worm-like Robot Using Bézier Curve10 citations · 2021