Learning an Action-Conditional Model for Haptic Texture Generation

Project Webpage: https://sites.google.com/stanford.edu/haptic-texture-generation/home 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).