Papers

4

Total Citations

39

H-Index

3

About

Anis Meguenani is a robotics researcher dedicated to enabling safe and seamless human-robot collaboration. His work lies at the critical intersection of control theory, physical human-robot interaction, and safety assurance. Meguenani’s primary contribution is the development of an innovative energy-based control framework for robotic manipulators. He proposed a physically meaningful safety indicator derived from the robot’s kinetic energy, which is then incorporated as a quadratic constraint within the control algorithm. This approach allows robots to dynamically adjust their behavior to respect the physical limits of both the machine and any nearby human, effectively preventing dangerous impacts. His seminal paper, “Energy Based Control for Safe Human-Robot Physical Interaction” (2017), has garnered 19 citations, underscoring its influence in the field. Beyond manipulation, Meguenani has also explored active camera stabilization for agile legged robots, aiming to enhance their visual perception during complex locomotion. His doctoral thesis, “Safe Control of Robotic Manipulators in Dynamic Contexts,” synthesizes these efforts, providing a comprehensive framework for developing robotic systems that can confidently and safely share workspaces with human operators.

Research Focus

Key Achievements

3
H-Index
4
Papers
39
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Energy Based Control for Safe Human-Robot Physical Interaction
19 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Centre National de la Recherche Scientifique, Institut Systèmes Intelligents et de Robotique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago