Papers
7
Total Citations
147
H-Index
6
About
Hossein Karimpour is a robotics and automation researcher whose work spans human-robot collaboration, parallel robot systems, autonomous navigation, and multi-robot coordination. His most influential contribution, "A Mixed-Perception Approach for Safe Human–Robot Collaboration in Industrial Automation" (2020), has garnered 76 citations and addresses one of modern manufacturing's central challenges: enabling robots to operate safely and adaptively alongside human workers in dynamic industrial environments. This work reflects his broader commitment to bridging high-throughput automation with the flexibility demanded by real-world conditions. Karimpour's earlier research demonstrated considerable breadth, including adaptive neuro-fuzzy control of Stewart platforms handling unknown payloads (20 citations), geometric mechanics approaches to autonomous sphere navigation (13 citations), and model-based flight simulator control (9 citations). His 2019 work on map-merging in multi-robot SLAM further highlights his interest in scalable, cooperative robotic systems for complex environments. Across his portfolio, Karimpour consistently tackles problems where uncertainty — whether in payload inertia, friction properties, or human behavior — demands intelligent, robust control strategies. With over 140 cumulative citations, his contributions offer valuable insights for researchers working at the intersection of industrial automation, adaptive control, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 5Emulation of pilot control behavior across a Stewart platform simulator9 citations · 2018
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- 7Robotic box pushing under indeterminate anisotropic friction properties3 citations · 2020