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

2
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Analysis and Path Planning of a Turtle-Inspired Amphibious Spherical Robot
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Jilin Agricultural Science and Technology University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago