Otman Basir
Papers
7
Total Citations
108
H-Index
5
About
Otman Basir’s research centers on the distributed control and coordination of multi-agent systems (MAS), with significant contributions to robotics, rehabilitation engineering, and biofeedback. He is best known for developing the Coordinated Hybrid Agent (CHA) framework, a foundational model for decentralized control that enables heterogeneous agents—such as mobile robots, manipulators, and cranes—to work together seamlessly. His 2008 paper on this framework, with 49 citations, remains a key reference in the field. Basir also pioneered neural network approaches for reconstructing EMG signals from shoulder muscles, a 2005 work cited 28 times, with direct implications for rehabilitation robotics and biofeedback systems. His multi-agent CORBA-based vision architecture advanced cue integration for robust object tracking, addressing critical challenges in industrial robotics. Across his most-cited works, Basir has accumulated over 100 citations, reflecting his impact on both theoretical frameworks and practical applications. His work bridges intelligent planning, model-driven design, and real-world robotic coordination, making him a notable figure in multi-agent control and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Framework for Coordinated Control of Multi-Agent Systems16 citations · 2010
- 4Multi-Agent Based Control of a Heterogeneous System6 citations · 2006
- 5Multi-agent CORBA-based robotics vision architecture for cue integration5 citations · 2003
- 6Model-Driven Interactive System Design for Therapy Robots2 citations · 2004
- 7