Here we describe a new method to conduct studies in HRI that we developed during the COVID-19 lockdowns.
Meet Sawyer as a laundry sorting robot. The user places the dirty laundry on the sorting table. Sawyer then sorts the dirty laundry by color and places the clothes in the appropriate bins.
see the short video at https://youtu.be/WTvuA9oHP8g
Here is a new publication from our lab. This is a literature review that is focused on person-following in robotics from the perspective of the user. Published in IEEE THMS.
Significant R&D has been invested in technical issues related to person following. However, a systematic approach for designing robotic person-following behavior that maintains appropriate social conventions across contexts has not yet been developed. To understand why this may be the case, an in-depth literature review of 221 articles on person-following robots was performed, from which 107 are referenced. From these papers, six relevant topics were identified that shed light on the types of social interactions that have been studied in person-following scenarios: a) applications; b) robotic systems; c) environments; d) following strategies; e) human-robot communication; and f) evaluation methods. Gaps in the existing research on person-following robots were identified, mainly in addressing social interaction and user needs, noting that only 25 articles reported proper user studies. Human-related, robot-related, task-related, and environment-related factors that are likely to influence people’s spatial preferences and expectations of a robot’s person-following behavior are then discussed. To guide the design of socially aware person following robots, a user-needs layered design framework that combines the four factor categories is proposed. The framework provides a systematic way to incorporate social considerations in the design of person-following robots. Finally, framework limitations and future challenges in the field are presented and discussed.