Michael Pham-Hung

University of Toronto

Papers

2

Total Citations

27

H-Index

2

About

Michael Pham-Hung is a robotics researcher whose work bridges human-robot interaction and autonomous navigation in complex, real-world environments. His research focuses on two key areas: socially assistive robotics for aging populations and autonomous systems for crowded retail spaces. In his highly cited 2023 study, Pham-Hung explored how social robots can promote physical activity among seniors through both group and one-on-one interactions, addressing the critical challenge that only a small fraction of older adults regularly exercise despite its proven benefits for independence and disease prevention. His 2021 paper introduced a novel robot architecture using ContextSLAM to locate products in unknown, crowded retail environments—tackling the everyday struggle shoppers face navigating cluttered store layouts. Together, these works have accumulated over 27 citations, demonstrating growing interest in his practical, human-centered approach. Pham-Hung’s contributions stand out for their direct societal impact, from improving elderly well-being to enhancing grocery shopping efficiency, making his research equally relevant to engineers and policymakers seeking deployable robotic solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Long-Term Exercise Assistance: Group and One-on-One Interactions between a Social Robot and Seniors
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Toronto

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago