Papers

3

Total Citations

49

H-Index

3

About

C. Mollaret’s research lies at the intersection of assistive robotics, multimodal perception, and human-robot interaction, with a focused commitment to enhancing the quality of life for the elderly. Their most impactful contribution is the development of a multi-modal perception-based assistive robotic system, detailed in a 2016 paper that has garnered 32 citations. This work integrates diverse sensory data to create robots capable of safely and effectively aiding older adults in daily living tasks. A second key contribution, with 12 citations, introduces a probabilistic multimodal data fusion scheme that enables robots to perceive a user’s “intention-for-interaction.” This innovation is crucial for non-proactive robotics, allowing machines to naturally discern when to initiate communication, thereby fostering more intuitive and less intrusive assistance. Mollaret also conducted a pilot study on objects commonly misplaced by frail elderly individuals at home, offering practical insights for designing supportive technologies. Through these efforts, Mollaret has advanced the field of socially aware robotics, demonstrating how intelligent systems can be tailored to meet the nuanced needs of aging populations.

Research Focus

Key Achievements

3
H-Index
3
Papers
49
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A multi-modal perception based assistive robotic system for the elderly
32 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago