Xuepeng Cao

Chang'an University

Papers

2

Total Citations

23

H-Index

2

About

Xuepeng Cao is a robotics researcher whose work focuses on advancing intelligent manufacturing and human-robot interaction through novel sensing and actuation technologies. His primary research areas include robotic welding automation, laser vision sensing, and the design of compliant robotic actuators. In a highly cited 2023 study (19 citations), Cao developed a four-step 3D welding seam tracking method for symmetrical robotic MAG welding, using a laser vision sensor to enable real-time, adaptive torch positioning along complex weld paths—a critical contribution to automated manufacturing quality. Earlier, in 2019, he designed and controlled a flexible joint based on a hydraulic series elastic actuator (SEA) for manipulation applications, demonstrating how compliant actuation can improve safety and performance in exoskeletons, prosthetics, and legged robots. By integrating precise sensing with compliant control, Cao’s work bridges the gap between rigid industrial robots and the need for adaptable, human-safe automation. His research has practical implications for industries requiring high-precision welding and for the next generation of collaborative robots. With a growing citation record, Cao is establishing himself as a contributor to both fundamental actuator design and applied manufacturing robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A Novel 3D Complex Welding Seam Tracking Method in Symmetrical Robotic MAG Welding Process Using a Laser Vision Sensing
19 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Chang'an University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago