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Luyao Yuan

3 accepted papers

2022

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration

RA-L 2022

Aligning humans’ assessment of what a robot can do with its true capability is crucial for establishing a common ground between human and robot partners when they collaborate on a joint task. In this work, we propose an approach to calibrate humans’ estimate of a robot’s reachable workspace through

Cited by 4SourceScholar
2021

Iterative Teacher-Aware Learning

NeurIPS 2021poster

In human pedagogy, teachers and students can interact adaptively to maximize communication efficiency. The teacher adjusts her teaching method for different students, and the student, after getting familiar with the teacher’s instruction mechanism, can infer the teacher’s intention to learn faster.…

Cited by 15SourcePDFScholar
2017

Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries

CVPR 2017spotlight

Associating image regions with text queries has been recently explored as a new way to bridge visual and linguistic representations. A few pioneering approaches have been proposed based on recurrent neural language models trained generatively (e.g., generating captions), but achieving somewhat limit…

Cited by 61PDFScholar