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07/31/2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
For most real-world applications, robots need to adapt and learn continu...
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07/05/2023
Active Class Selection for Few-Shot Class-Incremental Learning
For real-world applications, robots will need to continually learn in th...
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06/30/2023
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Recent research has examined the possibility of using robots to guide ev...
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02/28/2023
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models
Emergency evacuation describes a complex situation involving time-critic...
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10/16/2022
Using Virtual Reality to Simulate Human-Robot Emergency Evacuation Scenarios
This paper describes our recent effort to use virtual reality to simulat...
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09/20/2022
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields
This work studies a robot-assisted crowd evacuation problem where we con...
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06/21/2022
Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios
This paper describes current progress on developing an ethical architect...
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06/30/2021
If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot
Robots may soon play a role in higher education by augmenting learning e...
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06/08/2021
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles
Risk is traditionally described as the expected likelihood of an undesir...
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06/08/2021
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection
We propose a safe DRL approach for autonomous vehicle (AV) navigation th...
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05/01/2021
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network
Prior research has extensively explored Autonomous Vehicle (AV) navigati...
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03/23/2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Deep learning has achieved remarkable success in object recognition task...
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03/13/2021
Online Learning of Objects through Curiosity-Driven Active Learning
Children learn continually by asking questions about the concepts they a...
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01/26/2021
Continual Learning of Visual Concepts for Robots through Limited Supervision
For many real-world robotics applications, robots need to continually ad...
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01/13/2021
EEC: Learning to Encode and Regenerate Images for Continual Learning
The two main impediments to continual learning are catastrophic forgetti...
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08/22/2020
What am I allowed to do here?: Online Learning of Context-Specific Norms by Pepper
Social norms support coordination and cooperation in society. With socia...
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07/15/2020
Tell me what this is: Few-Shot Incremental Object Learning by a Robot
For many applications, robots will need to be incrementally trained to r...
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01/06/2020