54 citations · 211 across the 34 of their papers we have counts for
4 papers · 1 filter
Learning a Neural Association Network for Self-supervised Multi-Object Tracking
Shuai Li, Michael Burke, Subramanian Ramamoorthy +1
This paper introduces a novel framework to learn data association for multi-object tracking in a self-supervised manner. Fully-supervised learning methods are known to achieve exce…
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Juyan Zhang, Dana Kulic, Michael Burke
Manipulation tasks often consist of subtasks, each representing a distinct skill. Mastering these skills is essential for robots, as it enhances their autonomy, efficiency, adaptab…
Influence-Based Reward Modulation for Implicit Communication in Human-Robot Interaction
Haoyang Jiang, Elizabeth A. Croft, Michael G. Burke
Communication is essential for successful interaction. In human-robot interaction, implicit communication holds the potential to enhance robots' understanding of human needs, emoti…
A New Framework to Predict and Visualize Technology Acceptance: A Case Study of Shared Autonomous Vehicles
Lirui Guo, Michael G. Burke, Wynita M. Griggs
Public acceptance is critical to the adoption of Shared Autonomous Vehicles (SAVs) in the transport sector. Traditional acceptance models, primarily reliant on Structural Equation…