Alan R. Wagner | DeepAI

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Featured Co-authors

Hai Lin
56 publications
Ali Ayub
19 publications
Minghui Zhu
13 publications
Tongjia Zheng
7 publications
Zhenyuan Yuan
5 publications
Shengkang Chen
4 publications
Kasra Mokhtari
4 publications
Ronald C. Arkin
3 publications
Mollik Nayyar
3 publications
Vidullan Surendran
2 publications
Sarah M. Rajtmajer
2 publications

∙ 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...

0 Ali Ayub, et al. ∙

∙ 07/05/2023

Active Class Selection for Few-Shot Class-Incremental Learning

For real-world applications, robots will need to continually learn in th...

0 Christopher McClurg, et al. ∙

∙ 06/30/2023

Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments

Recent research has examined the possibility of using robots to guide ev...

0 Mollik Nayyar, et al. ∙

∙ 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...

0 Tongjia Zheng, et al. ∙

∙ 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...

0 Alan R. Wagner, et al. ∙

∙ 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...

0 Tongjia Zheng, et al. ∙

∙ 06/21/2022

Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios

This paper describes current progress on developing an ethical architect...

0 Shengkang Chen, et al. ∙

∙ 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...

0 Ali Ayub, et al. ∙

∙ 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...

0 Kasra Mokhtari, et al. ∙

∙ 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...

0 Kasra Mokhtari, et al. ∙

∙ 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...

0 Kasra Mokhtari, et al. ∙

∙ 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...

0 Ali Ayub, et al. ∙

∙ 03/13/2021

Online Learning of Objects through Curiosity-Driven Active Learning

Children learn continually by asking questions about the concepts they a...

0 Ali Ayub, et al. ∙

∙ 01/26/2021

Continual Learning of Visual Concepts for Robots through Limited Supervision

For many real-world robotics applications, robots need to continually ad...

0 Ali Ayub, et al. ∙

∙ 01/13/2021

EEC: Learning to Encode and Regenerate Images for Continual Learning

The two main impediments to continual learning are catastrophic forgetti...

0 Ali Ayub, et al. ∙

∙ 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...

0 Ali Ayub, et al. ∙

∙ 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...

0 Ali Ayub, et al. ∙

∙ 01/06/2020

The Pedestrian Patterns Dataset

We present the pedestrian patterns dataset for autonomous driving. The d...

16 Kasra Mokhtari, et al. ∙

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