Learning an Action-Conditional Model for Haptic Texture Generation

Project Webpage: https://sites.google.com/stanford.edu...

This presentation accompanies the paper: N. Heravi, W. Yuan, A. Okamura, and J. Bohg, “Learning an action-conditional model for haptic texture generation,” in 2020 International Conference on Robotics and Automation (ICRA)

N. Heravi was supported by the NSF Graduate Research Fellowship.
This work has been partially supported by Amazon.com, Inc. through an
Amazon Research Award. This article solely reflects the opinions and
conclusions of its authors and not of Amazon or any entity associated
with Amazon.com. Research reported in this publication was also partially
supported by the 2019 Seed Grant from the Stanford Institute for the
Human-Centered Artificial Intelligence (HAI).