About

Amel Bouzeghoub is a leading researcher at the intersection of robotics, artificial intelligence, and smart environments, with a particular focus on developing autonomous systems that can operate safely and effectively in human-centered settings. Her work centers on service robotics for smart homes, situation awareness for autonomous robots, and human-robot collaboration (pHRC). Bouzeghoub's most cited paper, "A Framework for Service Robots in Smart Home: An Efficient Solution for Domestic Healthcare" (2018, 30 citations), proposes an integrated architecture for deploying robots in healthcare scenarios within smart homes. She also introduced RSAW, a situation awareness system that enables robots to autonomously detect and overcome blocked situations without operator intervention (8 citations). In her innovative work on physical human-robot collaboration, Bouzeghoub uses reinforcement learning to provide personalized, skill-based assistance that adapts to individual workers, moving beyond one-size-fits-all approaches (7 citations). Her research on context-aware planning and causal multi-armed bandit methods for failure avoidance further demonstrates her commitment to creating robust, adaptive robotic systems. Bouzeghoub's contributions are shaping the next generation of intelligent robots that can seamlessly integrate into our daily lives.

Research Focus

Key Achievements

3
H-Index
5
Papers
50
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Framework for Service Robots in Smart Home: An Efficient Solution for Domestic Healthcare
30 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Institut Mines-Télécom, Centre National de la Recherche Scientifique, Institut Polytechnique de Paris, Telecom SudParis

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago