Making sense of vision and touch: #ICRA2019 best paper award video and interview

by Robohub Editors

29 July 2019

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PhD candidate Michelle A. Lee from the Stanford AI Lab won the best paper award at ICRA 2019 with her work “Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks”. You can read the paper on arxiv here.

Audrow Nash was there to capture her pitch.

And here’s the official video about the work.

Full reference
Lee, Michelle A., Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, and Jeannette Bohg. “Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks.” arXiv preprint arXiv:1810.10191 (2018).

Robohub Editors

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Making sense of vision and touch: #ICRA2019 best paper award video and interview

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