Papers
3
Total Citations
42
H-Index
3
About
Jingyuan Sun is a robotics researcher whose work bridges the critical gap between mobility and manipulation, with a primary focus on the motion planning and control of wheeled-legged robots. Sun’s most impactful contribution is a hierarchical control framework for hybrid locomotion, published in 2020 (31 citations), which integrates foot placement planning, center-of-mass trajectory optimization, and whole-body control. This work provides a general mathematical representation for enabling robots to seamlessly transition between rolling and walking, expanding the operational possibilities for legged systems in complex environments. Earlier in their career, Sun contributed to the field of surgical robotics, designing novel remote center-of-motion (RCM) mechanisms for minimally invasive surgery. Their 2017 paper on an optimized RCM mechanism (7 citations) focused on enhancing flexibility and movement precision, while a subsequent study on a parallel RCM robot (4 citations) further advanced the kinematic design for surgical applications. Though these works have more modest citation counts, they demonstrate Sun’s versatility in tackling both mobile and medical robotics challenges. Together, Sun’s research represents a thoughtful progression from precision surgical tools to dynamic, hybrid locomotion systems—showcasing a deep understanding of both mechanical design and control theory.
Research Focus
Key Achievements
Top Papers
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