Papers
27
Total Citations
253
H-Index
9
About
Biyun Xie is a robotics researcher whose work sits at the intersection of motion planning, human-robot interaction, and fault-tolerant systems for robotic manipulators. With a career spanning over a decade, Xie has made significant contributions to the development of human-like motion in robotic arms, drawing on insights from biophysics and biomechanics to make robot movements more intuitive and safer for human environments. Their early work on human-like motion planning (2011, 20 citations) laid the groundwork for a productive line of research culminating in refined methodologies incorporating human arm movement primitives and motion patterns (2022, 14 citations). Xie's most cited paper, "Generating human-like movements for robotic arms" (2014, 44 citations), remains a landmark contribution to anthropomorphic robotics. Beyond biomimicry, Xie has advanced fault-tolerant planning, notably developing trajectory optimization strategies that maximize task completion probability following locked joint failures (2021, 22 citations). Their work on FSW robot systems and dimensional optimization (2020, 38 citations) further demonstrates breadth across industrial applications. A 2024 review on joint motor health monitoring reflects Xie's growing interest in robot reliability and maintenance, underscoring a career dedicated to making robotic systems both more capable and more resilient.
Research Focus
Key Achievements
Top Papers
- 1Generating human-like movements for robotic arms44 citations · 2014
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- 4Human-like motion planning for robotic arm system20 citations · 2011
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- 6A Review of Robotic Arm Joint Motors and Online Health Monitoring Techniques14 citations · 2024
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- 8A novel method for computing self-motion manifolds10 citations · 2022
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