Shengqi Sun
Papers
2
Total Citations
7
H-Index
2
About
Shengqi Sun is a robotics researcher whose work focuses on collision-free path planning and kinematic analysis for multi-arm and multi-degree-of-freedom robotic systems. His key contributions lie in advancing intelligent motion control algorithms, particularly through the integration of ant colony optimization with three-dimensional configuration space (C-space) methods to enable safe, efficient dual-arm robot coordination. His 2009 paper on dual-arm collision-free path planning, which has garnered 5 citations, addresses critical limitations in traditional algorithms by combining sensor-based path planning with bio-inspired optimization. Sun further contributed to the field with his 2012 study on 6-DOF robot kinematics and point-to-point (PTP) motion control using Matlab, providing practical tools for simulating and analyzing complex robotic movements. Though his citation counts are modest, his work represents foundational steps in applying swarm intelligence to robotic motion planning—a growing area of interest for researchers tackling real-world automation challenges. Sun’s research remains relevant for students and engineers exploring optimization-driven approaches to multi-robot coordination and kinematic control.
Research Focus
Key Achievements
Top Papers
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