Runan Zhang
Papers
5
Total Citations
254
H-Index
4
About
Runan Zhang is a multidisciplinary researcher whose work spans advanced manufacturing robotics and smart materials engineering. His most prominent contribution lies in precision robotic machining, where he has tackled fundamental limitations of industrial serial robots — including vibration, backlash, stiction, and positional inaccuracy — that hinder their use in high-stakes aerospace manufacturing contexts. His 2020 paper on real-time laser tracker compensation for robotic drilling and machining has garnered 64 citations, establishing him as a key voice in robot error correction methodologies. His subsequent work on H-infinity optimised control and feedforward compensation of joint nonlinearities further demonstrates a rigorous, control-theoretic approach to elevating robotic precision. Beyond robotics, Zhang made a significant impact in soft materials science with his highly cited 2019 study on self-healing dielectric elastomer actuators — accumulating 153 citations — which advanced the reliability of soft actuators for applications in soft robotics and medical devices. His continued exploration of robotic plunge milling reflects a commitment to pushing the boundaries of what autonomous manufacturing systems can achieve. Together, his body of work bridges materials intelligence and precision engineering in genuinely impactful ways.
Research Focus
Key Achievements
Top Papers
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- 2Real-Time Laser Tracker Compensation of Robotic Drilling and Machining64 citations · 2020
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