48 citations · 155 across the 22 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Ali Ayub, Alan R. Wagner
Deep learning has achieved remarkable success in object recognition tasks through the availability of large scale datasets like ImageNet. However, deep learning systems suffer from…
Learning Novel Objects Continually Through Curiosity
Ali Ayub, Alan R. Wagner
Children learn continually by asking questions about the concepts they are most curious about. With robots becoming an integral part of our society, they must also learn unknown co…
Continual Learning of Visual Concepts for Robots through Limited Supervision
Ali Ayub, Alan R. Wagner
For many real-world robotics applications, robots need to continually adapt and learn new concepts. Further, robots need to learn through limited data because of scarcity of labele…
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub, Alan R. Wagner
The two main impediments to continual learning are catastrophic forgetting and memory limitations on the storage of data. To cope with these challenges, we propose a novel, cogniti…