Guangde Bi
Papers
2
Total Citations
4
H-Index
1
About
Guangde Bi is a researcher focused on advancing robotic precision in surface machining, with key contributions in trajectory calibration, dexterity optimization, and pose planning. His work addresses critical challenges in industrial robotics, particularly the accurate execution of complex machining tasks on curved surfaces. Bi’s most cited paper, “High-precision trajectory calibration for robot surface machining by meta-heuristic search algorithm from local error in machining area” (2025, 3 citations), introduces a novel calibration method that uses meta-heuristic search to minimize local machining errors, significantly improving trajectory accuracy without requiring global system recalibration. In his second notable work, “Research on End-effector Posture and Workpiece Pose Optimization Based on Robot Dexterity for robot surface machining process” (2025, 1 citation), he develops a stepwise progressive optimization method that leverages the Jacobian Matrix Condition Number to optimize both end-effector posture and workpiece pose. This approach enhances robot dexterity and ensures smoother, more reliable machining paths. Though early in his career, Bi’s research is already demonstrating impact by bridging theoretical optimization with practical robotic manufacturing, offering scalable solutions for high-precision automation. His work is particularly valuable for researchers and engineers seeking to improve robotic surface finishing in aerospace, automotive, and mold-making industries.
Research Focus
Key Achievements
Top Papers
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- 2