Papers

34

Total Citations

463

H-Index

12

About

Hichem Sahli is a multidisciplinary robotics and computer vision researcher whose work spans social human-robot interaction, autonomous mobile systems, and intelligent sensing. His most influential contribution lies in the domain of child-robot interaction, where his 2015 paper on long-term social engagement through multi-activity switching has garnered over 100 citations, demonstrating his significant impact on how robots can support learning and therapeutic outcomes for young users. Sahli has also made notable strides in autonomous systems, developing dynamic models for underwater vehicles, terrain traversability analysis using 3D sensing, and multi-sensor localization frameworks combining visual SLAM with GPS correction for outdoor mobile robots. His early work on CoRoBa, a multi-robot control and simulation framework, provided foundational infrastructure for distributed robotics research, while his contributions to foreground detection in moving camera sequences reflect deep expertise in probabilistic computer vision. More recently, his exploration of forward-looking MIMO-SAR imaging for autonomous robots signals a forward-thinking integration of radar sensing into mobile platforms. Across these areas, Sahli has consistently bridged theoretical rigor with practical robotic applications, establishing himself as a versatile and enduring contributor to intelligent autonomous systems research.

Research Focus

Key Achievements

12
H-Index
34
Papers
463
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users
101 citations · 2015
📈 Most Prolific Year: 2015 (4 Papers)
🤝 Key Collaborators: 84
🏛 Institutions: Vrije Universiteit Brussel, IMEC, Signal Processing (United States), Vrije Universiteit Amsterdam

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago