Longfei Sun
Papers
9
Total Citations
71
H-Index
4
About
Longfei Sun is a leading researcher in industrial robotics, specializing in the design and stiffness optimization of robotic arms for high-precision manufacturing. His work addresses a critical industry challenge: the inherent flexibility of traditional robots, which compromises accuracy in machining tasks like drilling and boring. Sun’s major contributions include pioneering a five-degree-of-freedom robot with hybrid open- and closed-loop kinematic chains, offering superior stiffness without sacrificing workspace or flexibility. His most-cited paper (2019, 20 citations) details the design and performance analysis of this arm for robotic drilling, while his 2018 work (16 citations) provides an approximation method for stiffness calculation, a key tool for engineers. Sun also introduced non-backlash driving mechanisms (2017, 11 citations) and a variable bias torque control method for dual-motor joints (2024, 8 citations), directly tackling transmission backlash. His research extends to variable stiffness actuators for human-robot interaction and bio-inspired trunk-like robots using cable-SMA actuation. With a growing citation record and a focus on practical, industrially-relevant solutions, Sun is advancing the frontier of robotic machining, enabling safer, more accurate automation in aerospace and heavy manufacturing.
Research Focus
Key Achievements
Top Papers
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- 4Backlash Elimination Control for Robotic Joints with Dual–Motor Drive8 citations · 2024
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