Papers
2
Total Citations
49
H-Index
2
About
Mingyi Xia is a robotics researcher whose work focuses on sensor design and intelligent motion planning for robotic systems. Their most cited paper, "Design and optimization of a high sensitivity joint torque sensor for robot fingers" (2019, 34 citations), addresses a critical challenge in dexterous manipulation by developing a sensor capable of precise force feedback, enabling more responsive and adaptive robotic grippers. This contribution has implications for prosthetics, industrial automation, and human-robot interaction. In a second notable work, "Obstacle Avoidance in a Three-Dimensional Dynamic Environment Based on Fuzzy Dynamic Windows" (2021, 15 citations), Xia introduced a real-time path planning algorithm that extends the classic dynamic window approach to 3D space. This method allows robots to navigate complex environments with both static and dynamic obstacles while satisfying performance and path constraints—a key advancement for autonomous aerial or space-based robots. Together, these papers demonstrate Xia’s ability to bridge hardware innovation with algorithmic intelligence, producing practical solutions for real-world robotic challenges. With a growing citation record, their work is gaining recognition among researchers in sensor design and autonomous navigation.
Research Focus
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Top Papers
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