Papers
7
Total Citations
340
H-Index
5
About
Xiaolin Dai is a robotics and autonomous systems researcher whose work spans mobile robot path planning, parallel robot manipulators, and advanced control strategies. His most influential contribution, a 2019 paper proposing a hybrid ant colony algorithm enhanced with A* heuristic methods for mobile robot path planning, has garnered over 215 citations, establishing him as a recognized voice in intelligent navigation. Building on this foundation, his 2020 follow-up work integrated Markov Decision Processes to generate smoother, safer trajectories in grid-based environments, earning an additional 62 citations and demonstrating his commitment to practical, high-quality autonomous navigation solutions. Beyond path planning, Dai has made meaningful contributions to parallel robot mechanics, including neural network compensation control for Gough-Stewart platforms under uncertain loads and Extended Kalman Filter-based load parameter identification — work that addresses real-world dynamic coupling challenges in robotic manipulation. His earlier kinematic analysis of 3-DOF rotational parallel mechanisms reflects a career grounded in rigorous mechanical theory. More recently, Dai has extended his research into fault-tolerant control for robotic manipulators and flexible control of rope-driven serpentine arms, signaling a broadening research vision. Across his body of work, Dai consistently bridges theoretical innovation with engineering applicability, making his research valuable to both robotics scholars and practitioners.
Research Focus
Key Achievements
Top Papers
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- 5Kinematics Analysis of a 3-dof Rotational Parallel Mechanism6 citations · 2008
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