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Joshua Lee

2 accepted papers

2020

Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration

IROS 2020poster

Common experience suggests that agents who know each other well are better able to work together. In this work, we address the problem of calibrating intention and capabilities in human-robot collaboration. In particular, we focus on scenarios where the robot is attempting to assist a human who is u…

Cited by 19SourcecodeScholar
2019

Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks

NeurIPS 2019poster

The advent of deep learning algorithms for mobile devices and sensors has led to a dramatic expansion in the availability and number of systems trained on a wide range of machine learning tasks, creating a host of opportunities and challenges in the realm of transfer learning. Currently, most trans…

Cited by 38SourcePDFScholar