Summer 2022 CRA DREU Project
about me
I am Sreya Aluri, a research intern at the Assistive Agent Behavior and Learning Lab. I graduated from the University of Richmond in May of 2022 with a Bachelor of Science in Computer Science
and a minor in Physics. You can find more information about me on my linkedin and feel free to contact me via email.
about me
I am Sreya Aluri, a research intern at the Assistive Agent Behavior and Learning Lab. I graduated from the University of Richmond in May of 2022 with a Bachelor of Science in Computer Science
and a minor in Physics. You can find more information about me on my linkedin and feel free to contact me via email.
about my mentor
I worked on this research project under the guidance of Dr. Elaine Short. Her research focuses on building algorithms that
enable robust assistive human-robot interaction in schools, homes, crowds, and other natural environments.
You can visit Dr. Short's website to know more about her and her work.
research overview
By analysing elevator traffic patterns, elevators are equipped with algorithms that bring them
to the most requested floors (Eg: the floor with lobby in a hotel) even when no one has pressed a button. This simple
act that involves taking data-driven predictive action, saves a lot of waiting time for the humans. Similarly, giving
a robot helpful information to begin computation and motion planning by predicting the human's intention can reduce a
human's wait time. Intent is communicated verbally to the robot usually once the human has made an explicit decisions.
To give the robot a head-start before the explicit communication, we can look instead into non-verbal cues. Humans have
multiple modes of non-verbal communication including facial expressions, body posture, gestures, eye contact, use of space,
tone of voice, and physical touch. In this research project, we specifically look into how human eye gaze can be analysed
for intent communication in human robot interactions.
blog
final report