About

John T. Feddema is a distinguished robotics researcher whose career has centered on visual servoing, autonomous robotic systems, and multi-robot coordination. His pioneering early work on vision-guided robot control — particularly his 1989 paper on feature-based trajectory generation (305 citations) and his 1991 study on weighted image feature selection (198 citations) — helped establish the theoretical and practical foundations of eye-in-hand robotic systems, enabling robots to intelligently interpret visual feedback for precise manipulation tasks. Feddema extended this expertise into microassembly, applying visual servoing to the intricate assembly of LIGA microstructures, and developed innovative methods for slosh-free liquid transport by robotic arms, demonstrating a remarkable breadth of application. His 2002 work on decentralized control of cooperative robotic vehicles (256 citations) reflects his evolution toward multi-agent systems, contributing rigorous theoretical frameworks for coordinating autonomous vehicles at scale. Additional contributions spanning flexible robot dynamics, digital filter vibration suppression, whole-arm obstacle avoidance, and optimal robot placement underscore his comprehensive systems-level thinking. With over 1,200 combined citations across his most recognized works, Feddema's research has proven foundational for generations of robotics engineers advancing manipulation, autonomy, and human-robot collaboration.

Research Focus

Key Achievements

17
H-Index
43
Papers
1,686
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Vision-guided servoing with feature-based trajectory generation (for robots)
305 citations · 1989
📈 Most Prolific Year: 2002 (12 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Sandia National Laboratories, Sandia National Laboratories California, Purdue University West Lafayette, Office of Scientific and Technical Information

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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