activity
20212026
most citedFrom Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation

35 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives

Laura Londoño, Klaus Baumann, Abhinav Valada +1

Care robots are increasingly being introduced into healthcare settings, raising important questions about their acceptance and ethical implementation. To better understand these ch…

cs.RO2025

Designing for Difference: How Human Characteristics Shape Perceptions of Collaborative Robots

Sabrina Livanec, Laura Londoño, Michael Gorki +3

The development of assistive robots for social collaboration raises critical questions about responsible and inclusive design, especially when interacting with individuals from pro…

cs.RO2022★ 4 cited

Fairness and Bias in Robot Learning

Laura Londoño, Juana Valeria Hurtado, Nora Hertz +3

Machine learning has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real world. Rec…

cs.RO2022★ 3 cited

Doing Right by Not Doing Wrong in Human-Robot Collaboration

Laura Londoño, Adrian Röfer, Tim Welschehold +1

As robotic systems become more and more capable of assisting humans in their everyday lives, we must consider the opportunities for these artificial agents to make their human coll…

cs.RO2021★ 35 cited

From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation

Juana Valeria Hurtado, Laura Londoño, Abhinav Valada

The exponentially increasing advances in robotics and machine learning are facilitating the transition of robots from being confined to controlled industrial spaces to performing n…