Papers
12
Total Citations
75
H-Index
5
About
Tao Li is a robotics and mechanical systems researcher whose work spans robot kinematics, dynamic control, autonomous surface systems, and emerging areas such as digital twins and soft robotics. His most recognized contribution, a unified dynamic control method for redundant dual-arm robots (2015, 23 citations), established foundational approaches for coordinating complex robotic systems with redundant degrees of freedom. Li has also made meaningful methodological contributions to robot kinematic modeling, proposing an Enhanced Denavit–Hartenberg convention that resolves longstanding ambiguities in coordinate system establishment, work that has accumulated 14 citations and reflects his commitment to clarifying fundamental engineering frameworks. More recently, Li has extended his expertise to cutting-edge applications, including the modeling and stability analysis of autonomous surface manipulator systems—novel platforms combining robotic arms with unmanned surface vehicles—and physical modeling for digital twin technology applied to Continuous Damping Control dampers. His 2023–2024 publications on anti-rolling strategies for autonomous surface systems demonstrate a growing focus on real-world deployment challenges. With a publication record bridging classical robotics theory and modern intelligent systems, Li's research offers valuable insights for students and engineers working at the intersection of robot dynamics, autonomous vehicles, and advanced mechatronics.
Research Focus
Key Achievements
Top Papers
- 1A unified dynamic control method for a redundant dual arm robot23 citations · 2015
- 2
- 3Physical modeling for digital twin of Continuous Damping Control damper10 citations · 2023
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- 5Soft pneumatic actuator optimal design based on isogeometric analysis6 citations · 2023
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- 9An improved D-H convention for establishing a link coordinate system2 citations · 2019
- 10