Xiaosheng Cheng
Papers
6
Total Citations
212
H-Index
6
About
Xiaosheng Cheng is a leading researcher in intelligent robotic assembly and advanced manufacturing, whose work bridges the gap between precision automation and soft robotics. His primary contributions lie in developing vision-guided systems for large-scale industrial assembly, where he has pioneered calibration strategies and multi-sensor fusion techniques that enable robots to handle complex tasks like peg-in-hole alignment and rivet grasping. His 2020 paper on calibration for vision-guided robot assembly of large cabins has garnered 52 citations, while his work on two-level visual sensors for prealignment has been cited 51 times, reflecting their impact on improving automation accuracy. Beyond rigid robotics, Cheng has also advanced soft robotics through innovative actuator design, as seen in his 2019 paper on multi-material pneumatic actuators (39 citations), which introduced a principal strain field method for efficient motion generation. His research extends to 3D structure fabrication via frontal photopolymerization, demonstrating versatility in manufacturing technologies. Cheng’s work is widely recognized for its practical applications in aerospace and industrial settings, making him a key figure in the evolution of intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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