About

Heping Chen is a prominent robotics and manufacturing engineer whose research sits at the intersection of industrial automation, robot path planning, and advanced manufacturing processes. Best known for his pioneering contributions to automated spray painting path planning for industrial robots, Chen has fundamentally advanced how manufacturers approach trajectory generation for complex free-form surfaces — work that spans over two decades, from his foundational 2002 CAD-based trajectory planning paper to comprehensive reviews that have collectively accumulated over 160 citations. His research directly addresses real-world manufacturing bottlenecks, including reducing costly programming cycles for processes like deburring cast aluminum wheels, where manual path generation previously consumed up to ten weeks per wheel. Chen has also made significant contributions to robot calibration, autonomous mobile robot navigation, and assembly robotics for large-scale aerospace components. More recently, he expanded into emerging technologies, with his 2021 machine learning-based layer roughness modeling for robotic additive manufacturing earning 87 citations in just a few years. With a combined citation count exceeding 640 across his top works, Chen's research has demonstrably shaped modern industrial robotics, offering practical, implementable solutions that bridge theoretical innovation and factory-floor application.

Research Focus

Key Achievements

24
H-Index
100
Papers
1,765
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Automated industrial robot path planning for spray painting process: A review
95 citations · 2008
📈 Most Prolific Year: 2014 (12 Papers)
🤝 Key Collaborators: 133
🏛 Institutions: Texas State University, ABB (Switzerland), Michigan State University, Shenzhen Academy of Robotics, Applied Research Corporation (United States), Manpower Demonstration Research Corporation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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