Kambiz Ghaemi Osgouie

Sharif University of Technology, University of Tehran

Papers

10

Total Citations

96

H-Index

5

About

Kambiz Ghaemi Osgouie is a robotics researcher whose work centers on intelligent mobile robot navigation, optimal trajectory planning, and the design and control of reconfigurable manipulators. His most cited paper, "Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment" (28 citations), introduces a sensor-based method combining velocity obstacle avoidance with fuzzy decision-making for path generation. He has made significant contributions to the optimization of parallel and cooperative robotic systems, particularly the Dual-Arm Cam-Lock (DACL) robot, where his research on kinematic redundancy, manipulability, and trajectory planning—using neural networks and genetic algorithms—has advanced the field of reconfigurable manipulators. His work on "Optimal Trajectory Planning for Parallel Robots Considering Time-Jerk" (23 citations) addresses the critical trade-off between execution time and smoothness of motion. Notably, Osgouie has also explored the application of robotics to culturally sensitive tasks, as seen in his conceptual design of a semi-automatic cell for corpse preparation in Islamic burial rites. With over 90 citations across his publications, his research demonstrates a blend of theoretical optimization, practical control, and socially aware engineering, making him a versatile figure in modern robotics.

Research Focus

Key Achievements

5
H-Index
10
Papers
96
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment
28 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Sharif University of Technology, University of Tehran

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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