Papers

2

Total Citations

29

H-Index

2

About

Bilal Hoteit is a researcher at the forefront of social robotics, with a focus on deploying intelligent, autonomous systems that can assist humans in everyday environments. His work centers on integrating artificial intelligence—particularly AI planning and reasoning—into social assistive robots to enable persistent, context-aware autonomy. Hoteit’s most influential contribution is the AMIRO Social Robotics Framework, which he developed and evaluated on the Pepper robot. This framework addresses critical challenges in human-robot interaction, such as affordability, task-specific functionality, and real-world deployment in domains like retail, entertainment, and active and assisted living (AAL). His 2020 paper on this framework has garnered 27 citations, reflecting its impact on the field. In parallel, Hoteit has advanced the theoretical underpinnings of autonomous behavior in social robots, emphasizing closed-loop systems that integrate planning, reasoning, and acting. His work is notable for bridging the gap between high-level AI reasoning and practical robotic applications, making social robotics more accessible and effective. Hoteit’s research is essential reading for anyone interested in the future of assistive robotics and human-robot collaboration.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot
27 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Universitatea Națională de Știință și Tehnologie Politehnica București

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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