Stephen Derby

Rensselaer Polytechnic Institute

Papers

16

Total Citations

147

H-Index

6

About

Stephen Derby is a robotics and automation researcher whose career has spanned foundational challenges in industrial robot safety, motion planning, and advanced manufacturing. Based at Rensselaer Polytechnic Institute, Derby has made enduring contributions across several interconnected domains. His early work on robot safety and collision avoidance (1986, 39 citations) addressed the growing industrial need to protect workers as robotic deployment accelerated, establishing principles that remain relevant to this day. Simultaneously, his research into simulating robot arm motion profiles (1983, 23 citations) helped engineers achieve smoother, more efficient robot movements by adapting cam-motion techniques to multi-link systems. Derby's path planning algorithms for kinematically redundant robots and cooperating robotic systems represent particularly sophisticated contributions, offering general, CAD-compatible solutions to one of robotics' most complex geometric challenges. His applied manufacturing research extended into electronics remanufacturing, developing and statistically analyzing robotic systems for surface-mount component replacement on printed circuit boards (1998, 23 citations). More recently, Derby turned his expertise toward sustainable energy, investigating automated assembly processes for polymer-electrode membrane fuel cells (2011, 14 citations), addressing the critical transition from prototype to high-volume production. Collectively, his work reflects a career dedicated to making robotic systems safer, smarter, and more manufacturable.

Research Focus

Key Achievements

6
H-Index
16
Papers
147
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Safety and Collision Avoidance System for Industrial Robots
39 citations · 1986
📈 Most Prolific Year: 1983 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Rensselaer Polytechnic Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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