Papers

14

Total Citations

389

H-Index

8

About

Nasser Houshangi is a robotics and control systems researcher whose work spans visual servoing, adaptive control, and mobile robot localization. He is perhaps best known for his pioneering contributions to vision-based robotic manipulation, most notably his 1991 paper "Real-time vision feedback for servoing robotic manipulator with self-tuning controller," which garnered over 200 citations and introduced an innovative adaptive control algorithm enabling robots to grasp moving objects despite inherent image-processing delays through predictive motion compensation. His follow-up work in 2002 further refined adaptive controllers capable of handling modeling errors and unknown payloads, accumulating an additional 75 citations. Beyond manipulation, Houshangi made significant contributions to mobile robot navigation, developing sensor fusion strategies that integrate odometry with fiber optic gyroscopes and Unscented Kalman Filtering to achieve accurate position and orientation determination — work that collectively attracted dozens of citations across multiple publications. His research portfolio also encompasses autonomous lane-following systems, tactile sensor control, and force-position adaptive controllers, reflecting a broad yet cohesive research vision centered on robust, real-world robotic autonomy. With a career spanning several decades and consistent contributions across sensing, control, and perception, Houshangi represents a foundational voice in applied robotics research.

Research Focus

Key Achievements

8
H-Index
14
Papers
389
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Real-time vision feedback for servoing robotic manipulator with self-tuning controller
209 citations · 1991
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Purdue University Northwest, Purdue University West Lafayette

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago