Pamela Carreno‐Medrano
Monash University, Australian Regenerative Medicine Institute, University of Waterloo
Papers
23
Total Citations
304
H-Index
9
About
Pamela Carreno-Medrano is a multidisciplinary researcher whose work sits at the intersection of human-robot interaction (HRI), public space robotics, and participatory design. With over 250 citations across her published work, she has established herself as a significant voice in how robots integrate into everyday human environments and how those deployments should be thoughtfully designed and governed. Her most influential contributions examine robots in public spaces from both technical and social perspectives. Her highly cited 2021 paper on policy design (50 citations) addresses the governance challenges posed by increasingly autonomous robots, while her participatory and co-design methodologies empower everyday users—including non-experts—to shape robot behavior and recover from failures. A standout achievement is the RIZE framework (44 citations), which democratizes robot programming for users with no prior technical experience. Carreno-Medrano also advances the theoretical understanding of how robots restructure social and physical space, notably through her concept of "robotic logics." Her technical contributions extend to crowd navigation evaluation metrics and motion imitation via optimal control, demonstrating a sophisticated command of both computational methods and human-centered design. Across her research, she consistently champions inclusive, user-informed approaches to building robotic systems that genuinely serve diverse communities.
Research Focus
Key Achievements
Top Papers
- 1Robots in public spaces: implications for policy design50 citations · 2021
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- 4User Expectations of Robots in Public Spaces: A Co-design Methodology32 citations · 2020
- 5Imagining public space robots of the near-future29 citations · 2021
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- 7Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms15 citations · 2022
- 8A Framework for Human-Robot Interaction User Studies11 citations · 2020
- 9Human Motion Imitation using Optimal Control with Time-Varying Weights10 citations · 2021
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