Papers

7

Total Citations

46

H-Index

4

About

Frank Cheng is a robotics and industrial automation researcher whose career has centered on advancing the intelligence, precision, and practical application of robotic systems in manufacturing environments. His work spans robotic workcell design and simulation, machine vision integration, and robot programming methodologies — areas in which he has made consistent and meaningful contributions over more than two decades. Cheng's most cited work, "The Method of Recovering Robot TCP Positions in Industrial Robot Application Programs" (2007, 19 citations), addresses a critical challenge in industrial robotics: maintaining positional accuracy when physical components in a robot cell change. His early research on robotic workcell simulation, dating to 2000 and 2003, helped establish methodologies for designing and optimizing cellular manufacturing systems using virtual modeling tools. Later contributions explored vision-guided robot operations and the manipulation of 3D cylindrical objects using 2D cameras, demonstrating his commitment to enhancing robot perception and adaptability. Beyond industry-focused research, Cheng has championed robotics education, publishing work on incorporating simulation technology into undergraduate curricula as recently as 2024. His sustained output reflects a rare ability to bridge theoretical rigor with real-world engineering practice, making his scholarship valuable to both industry professionals and the next generation of robotics engineers.

Research Focus

Key Achievements

4
H-Index
7
Papers
46
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
The Method of Recovering Robot TCP Positions in Industrial Robot Application Programs
19 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Central Michigan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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