7 citations · 24 across the 9 of their papers we have counts for
10 papers · 1 filter
That was not what I was aiming at! Differentiating human intent and outcome in a physically dynamic throwing task
Vidullan Surendran, Alan R. Wagner
Recognising intent in collaborative human robot tasks can improve team performance and human perception of robots. Intent can differ from the observed outcome in the presence of mi…
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub, Alan R. Wagner
For most real-world applications, robots need to adapt and learn continually with limited data in their environments. In this paper, we consider the problem of Few-Shot class Incre…
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan +4
Recent research has examined the possibility of using robots to guide evacuees to safe exits during emergencies. Yet, there are many factors that can impact a person's decision to…
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…
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…
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…