Papers
3
Total Citations
24
H-Index
2
About
You Tang is a leading researcher in bionic robotics, specializing in the design, control, and hydrodynamic analysis of amphibious spherical robots (ASRs). His work is centered on bio-inspired locomotion, particularly turtle-inspired mechanisms, enabling robots to navigate complex amphibious environments with multiple degrees of freedom. Tang’s most significant contribution is the development of a dynamic path-planning algorithm based on a general constrained optimization problem (GCOP) model and sequential quadratic programming (SQP), which allows ASRs to autonomously patrol unknown underwater spaces using sensor input. This work, published in 2022, has garnered 16 citations and represents a foundational advance in autonomous underwater navigation. He has also pioneered multicooperation strategies for multiple ASRs in turbid, confined spaces, addressing the challenge of high-speed, accurate coordination under MDOF constraints. Additionally, his hydrodynamic analysis of a novel bionic ASR, published in 2023, provides essential insights into vehicle performance for environmental detection and target search. With a growing citation record and a focus on practical deployment in hazardous environments, Tang’s research is driving the next generation of amphibious robotic systems for exploration and surveillance.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multicooperation of Turtle-inspired amphibious spherical robots6 citations · 2025
- 3Hydrodynamic Analysis of a Novel Bionic Amphibious Spherical Robot2 citations · 2023