Franklin Mingzhe Li

Carnegie Mellon University

Papers

2

Total Citations

26

H-Index

2

About

Franklin Mingzhe Li is an emerging researcher at the forefront of human-robot interaction and disability accessibility, with a particular focus on how autonomous sidewalk robots intersect with the lived experiences of people with mobility and motor disabilities. His work critically examines the growing deployment of delivery and service robots in public spaces, investigating how these technologies can inadvertently create new barriers for communities that already navigate significant accessibility challenges in urban environments. Li's most notable contributions include participatory and interview-based studies that center the voices of people with disabilities alongside robotic practitioners, advocating for co-design approaches that embed accessibility principles into robot development from the ground up. His 2023 paper exploring how people with motor disabilities perceive navigating public space alongside sidewalk robots has garnered 12 citations, while his 2024 follow-up on co-design frameworks has already accumulated 14 citations — a strong signal of rapid scholarly impact for recently published work. What distinguishes Li's research is its commitment to social equity within technology design, bridging disability studies, human-computer interaction, and robotics. His scholarship offers essential guidance for practitioners and policymakers seeking to ensure that the rise of public autonomous systems does not deepen existing inequalities for vulnerable populations.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Co-design Accessible Public Robots: Insights from People with Mobility Disability, Robotic Practitioners and Their Collaborations
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago