Papers
5
Total Citations
38
H-Index
3
About
Abdenour Benkrid is a leading voice in the intersection of robotics, artificial intelligence, and sustainable industrial operations, with a primary focus on multi-robot coordination and energy-efficient exploration. His foundational work addresses the critical challenge of deploying robot teams in unknown environments, where he pioneered strategies to minimize exploration time while rigorously accounting for robots’ limited energy budgets. By developing novel frontier-based coordination methods, Benkrid’s research ensures that multi-robot systems can autonomously and efficiently map hazardous or inaccessible areas—a contribution that has garnered over 30 citations across his most influential papers. More recently, Benkrid has expanded his impact into the nuclear sector, spearheading research on digital transformation through the integration of robotics, AI, and digital twins. His holistic approach to digitalisation in the nuclear back-end—covering decommissioning and waste management—offers standardized, safe, and efficient solutions for high-risk environments. This forward-looking work, published in 2023 and 2025, positions him at the forefront of applying autonomous systems to critical infrastructure challenges, making his research essential for students and engineers aiming to build resilient, energy-aware robotic systems for the future.
Research Focus
Key Achievements
Top Papers
- 1Multi-robot Coordination for Energy-Efficient Exploration20 citations · 2019
- 2A novel approach for coordinated multi-robot exploration9 citations · 2017
- 3Robot's energy consumption based multi-robot exploration strategy5 citations · 2016
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