Papers
8
Total Citations
66
H-Index
5
About
Amine Chohra is a multidisciplinary researcher whose work spans autonomous robotics, intelligent systems, computational intelligence, and human-computer decision-making. Over a career spanning nearly three decades, Chohra has made significant contributions to the fields of neural network-based navigation, adaptive control systems, and automated negotiation, establishing himself as a pioneering voice in intelligent robotic behavior and AI-driven decision support. His early foundational work in the mid-1990s explored neural navigation approaches for autonomous mobile robots operating in partially structured environments, research that helped lay the groundwork for modern autonomous systems. This line of inquiry evolved into sophisticated collision avoidance frameworks using Fuzzy ArtMap Neural Networks, earning consistent scholarly recognition. His most-cited contribution—a 2020 study on output-bounded and RBFNN-based adaptive force control for tele-surgical applications—demonstrates his versatility, bridging robotics and medical technology with 17 citations to date. Beyond robotics, Chohra has investigated adaptive decision-making in automated negotiation and the role of affect in complex computational systems, reflecting a broader interest in human-inspired intelligence. His cumulative body of work, spanning RoboCup cooperative robotics to e-health neurosurgery, illustrates a sustained commitment to making machines smarter, safer, and more responsive to real-world complexity.
Research Focus
Key Achievements
Top Papers
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- 2An adaptive approach for decision making tactics in automated negotiation16 citations · 2013
- 3Evolution, Behavior, and Intelligence of Autonomous Robotic Systems (ARS)11 citations · 1998
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