activity
20192022
most citedStoring Encoded Episodes as Concepts for Continual Learning

7 citations · 19 across the 8 of their papers we have counts for

collaborators

16 papers

cs.RO20222 cited

Using Virtual Reality to Simulate Human-Robot Emergency Evacuation Scenarios

Alan R. Wagner, Colin Holbrook, Daniel Holman +5

This paper describes our recent effort to use virtual reality to simulate threatening emergency evacuation scenarios in which a robot guides a person to an exit. Our prior work has…

cs.RO2022

Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields

Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3

This work studies a robot-assisted crowd evacuation problem where we control a small group of robots to guide a large human crowd to safe locations. The challenge lies in how to mo…

cs.HC2021

If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot

Ali Ayub, Huiqing Hu, Guangwei Zhou +4

Robots may soon play a role in higher education by augmenting learning environments and managing interactions between instructors and learners. Little, however, is known about how…

cs.AI20211 cited

Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles

Kasra Mokhtari, Alan R. Wagner

Risk is traditionally described as the expected likelihood of an undesirable outcome, such as collisions for autonomous vehicles. Accurately predicting risk or potentially risky si…

cs.RO20213 cited

Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection

Kasra Mokhtari, Alan R. Wagner

We propose a safe DRL approach for autonomous vehicle (AV) navigation through crowds of pedestrians while making a left turn at an unsignalized intersection. Our method uses two lo…

cs.RO2021

Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network

Kasra Mokhtari, Alan R. Wagner

Prior research has extensively explored Autonomous Vehicle (AV) navigation in the presence of other vehicles, however, navigation among pedestrians, who are the most vulnerable ele…