Taoyu Tang
Papers
1
Total Citations
3
H-Index
1
About
Taoyu Tang’s research focuses on robotics and virtual simulation, with a particular emphasis on collision detection algorithms for off-line programming systems. His most-cited work, “A collision detection algorithm of Robot in off-line programming system” (2014), addresses a critical challenge in robotic automation: enabling accurate and efficient collision detection within virtual environments to improve the realism and reliability of robot trajectory planning. By developing algorithms that balance speed and precision, Tang’s contributions help bridge the gap between digital simulations and real-world robotic operations, reducing programming errors and enhancing safety in automated systems. Although his citation count remains modest—with his top paper garnering 3 citations—this work lays foundational groundwork for researchers and engineers seeking to optimize robot path planning in manufacturing and industrial settings. Tang’s research underscores the importance of robust virtual testing tools in advancing robotic autonomy, making his work a valuable reference for students and practitioners exploring off-line programming and collision avoidance.
Research Focus
Key Achievements
Top Papers
- 1A collision detection algorithm of Robot in off-line programming system3 citations · 2014