Papers
44
Total Citations
597
H-Index
14
About
Lounis Adouane is a prominent robotics researcher whose work spans autonomous navigation, multi-robot coordination, and cooperative control architectures. Over two decades, he has made significant contributions to solving some of the most challenging problems in mobile robotics, particularly in enabling robots to navigate safely and efficiently in complex, cluttered environments. Adouane is perhaps best known for his development of elliptic trajectory-based obstacle avoidance algorithms, which provide reliable, reactive navigation using minimal sensory data — work that has garnered over 37 citations per paper and influenced subsequent generations of navigation systems. His research on virtual structure formations for multi-robot systems has established robust frameworks for coordinated group movement, with key papers attracting over 50 citations. His 2019 work on cooperative robots for co-manipulation and transportation tasks (62 citations) reflects his continued leadership in physical human-robot and robot-robot collaboration. Adouane also authored the book *Autonomous Vehicle Navigation: From Behavioral to Hybrid Multi-Controller Architectures*, cementing his expertise in scalable, safety-focused control design. His auction-based coordination strategies for multi-robot task allocation further demonstrate his breadth across both theoretical foundations and practical implementations, making his research essential reading for anyone entering the field of autonomous and cooperative robotics.
Research Focus
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Top Papers
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- 7Autonomous Vehicle Navigation29 citations · 2016
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