Songlin Ding
Papers
13
Total Citations
119
H-Index
7
About
Songlin Ding is a leading researcher at the intersection of robotics and advanced manufacturing, with a primary focus on robotic machining, electric discharge machining (EDM), and intelligent automation. His most significant contributions lie in developing novel robotic systems that overcome the inherent limitations of traditional CNC machines, particularly for processing hard-to-cut materials like titanium. Ding pioneered the design of transformable parallel-serial manipulators and high-speed wire EDM robotic end-effectors, addressing critical challenges in vibration control and precision. His work on servo control strategies for vibration-free robotic milling EDM has been foundational, accumulating over 100 citations across his top papers. Notably, his 2020 study on augmented reality in robot programming and his 2023 work on high-efficiency navigation using improved Hybrid A* algorithms demonstrate his versatility in both manufacturing and autonomous robotics. Ding’s recent research extends into digital twin calibration for seven-axis robotic EDM systems and immersive virtual reality for industrial IoT teleoperation, showcasing his commitment to Industry 4.0 integration. His comprehensive reviews on subtractive manufacturing with robotic manipulators have become essential references for researchers exploring large-scale, flexible automation solutions.
Research Focus
Key Achievements
Top Papers
- 1Transformable parallel-serial manipulator for robotic machining21 citations · 2018
- 2Augmented reality in robot programming19 citations · 2020
- 3Servo Control Strategies for Vibration-Control in Robotic Wire EDM Machining16 citations · 2021
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- 7Accurate vibration-free robotic milling electric discharge machining7 citations · 2022
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