Kambiz Ghaemi Osgouie
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
Top Papers
- 1Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment28 citations · 2013
- 2Optimal Trajectory Planning for Parallel Robots Considering Time-Jerk23 citations · 2013
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- 8Using the Matrix Method to Compute the Degrees of Freedom of Mechanisms2 citations · 2017
- 9Optimal Configuration of a 4-DOF Dual-Arm Cam-Lock Manipulator2 citations · 2007
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