Abdel-Iillah Mouaddib
Papers
1
Total Citations
26
H-Index
1
About
Dr. Abdel-Illah Mouaddib is a leading figure in artificial intelligence, specializing in multi-agent systems, human-robot collaboration, and decision-making under uncertainty. His research focuses on developing autonomous agents capable of operating in complex, unpredictable environments where precomputed behaviors fail. Mouaddib’s most cited work, “Humans-Robots Sliding Collaboration Control in Complex Environments with Adjustable Autonomy” (2012, 26 citations), introduces a groundbreaking framework for dynamic human-robot interaction. This paper addresses the challenge of partial knowledge and environmental unpredictability by proposing a sliding collaboration control mechanism that adjusts autonomy levels in real time, enabling robots to adapt to unforeseen situations while maintaining effective teamwork with humans. His contributions are pivotal for advancing assistive robotics, search-and-rescue operations, and autonomous systems in hazardous settings. With a career spanning decades, Mouaddib has significantly shaped the field of adjustable autonomy, influencing subsequent research on shared control and human-robot trust. His work continues to inspire students and researchers exploring the intersection of AI, robotics, and human factors.
Research Focus
Key Achievements
Top Papers
- 1