Papers
1
Total Citations
33
H-Index
1
About
Cheng Ma is a prominent researcher in robotics and intelligent manufacturing, with a primary focus on path planning for industrial robots. His most cited work, a comprehensive 2023 survey on rapidly exploring random trees (RRT), has garnered 33 citations and stands as a key reference in the field. In this paper, Ma systematically characterizes the challenges of industrial robot path planning and highlights the probabilistic completeness of RRT algorithms, which have become essential for ensuring efficient, collision-free motion in complex environments. By synthesizing advances in RRT-based methods, his survey provides a critical roadmap for researchers and engineers seeking to enhance robot autonomy and operational safety. Ma’s contributions are particularly impactful in bridging theoretical algorithm development with practical industrial applications, helping to drive the next generation of flexible, adaptive manufacturing systems. His work continues to influence both academic research and real-world robotic implementations.
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- 1