activity
20202023
most citedHey Robot, Which Way Are You Going? Nonverbal Motion Legibility Cues for Human-Robot Spatial Interaction

50 citations · 183 across the 22 of their papers we have counts for

collaborators

23 papers

cs.RO2023★ 10 cited

Robot Gaze During Autonomous Navigation and its Effect on Social Presence

Kerry He, Wesley P. Chan, Akansel Cosgun +2

As robots have become increasingly common in human-rich environments, it is critical that they are able to exhibit social cues to be perceived as a cooperative and socially-conform…

cs.RO2023★ 1 cited

Social Cue Detection and Analysis Using Transfer Entropy

Haoyang Jiang, Elizabeth A. Croft, Michael G. Burke

Robots that work close to humans need to understand and use social cues to act in a socially acceptable manner. Social cues are a form of communication (i.e., information flow) bet…

cs.RO2022★ 1 cited

Comparing Subjective Perceptions of Robot-to-Human Handover Trajectories

Alexander Calvert, Wesley Chan, Tin Tran +4

Robots must move legibly around people for safety reasons, especially for tasks where physical contact is possible. One such task is handovers, which requires implicit communicatio…

cs.RO2022★ 1 cited

Autonomous social robot navigation in unknown urban environments using semantic segmentation

Sophie Buckeridge, Pamela Carreno-Medrano, Akansel Cosgun +2

For autonomous robots navigating in urban environments, it is important for the robot to stay on the designated path of travel (i.e., the footpath), and avoid areas such as grass a…

cs.RO2022★ 2 cited

Design and Implementation of a Human-Robot Joint Action Framework using Augmented Reality and Eye Gaze

Wesley P. Chan, Morgan Crouch, Khoa Hoang +3

When humans work together to complete a joint task, each person builds an internal model of the situation and how it will evolve. Efficient collaboration is dependent on how these…

cs.RO2022★ 20 cited

Quantifying Demonstration Quality for Robot Learning and Generalization

Maram Sakr, Zexi Jesse Li, H. F. Machiel Van der Loos +2

Learning from Demonstration (LfD) seeks to democratize robotics by enabling diverse end-users to teach robots to perform a task by providing demonstrations. However, most LfD techn…