Jennifer Renoux

Örebro University, GREYC, Université de Caen Normandie

Papers

9

Total Citations

163

H-Index

6

About

Jennifer Renoux is a leading researcher at the intersection of assistive robotics, artificial intelligence, and ambient assisted living (AAL), with a primary focus on developing autonomous systems that support independent living for older adults. Her most impactful work centers on the MoveCare Project, where she pioneered the integration of Socially Assistive Robots (SARs) with IoT-based monitoring systems, virtual communities, and smart objects to create comprehensive at-home care ecosystems. Her seminal paper on this topic has garnered 62 citations, establishing a foundational framework for long-term, real-world deployments of assistive technologies. Renoux’s contributions extend to multi-robot systems and decision-theoretic planning, as demonstrated by her work on distributed active perception and event exploration, which addresses challenges in dynamic information gathering. Notably, her field studies on user feedback and remote supervision for mobile robots—cited 19 times—highlight her commitment to practical, user-centered autonomy. With over 160 total citations across her publications, Renoux has significantly advanced the feasibility of long-term, autonomous care solutions, bridging the gap between theoretical AI planning and tangible, life-enhancing applications for aging populations.

Research Focus

Key Achievements

6
H-Index
9
Papers
163
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project
62 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Örebro University, GREYC, Université de Caen Normandie

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago