1

A Programmable Approach To Model Compression

Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan

Angular Visual Hardness

Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar.

Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework

Yashraj Narang, Karl Van Wyk, Arsalan Mousavian, Dieter Fox

Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection

Lirui Wang, Yu Xiang, Dieter Fox

Online Domain Adaptation for Occupancy Mapping

Anthony Tompkins, Ransalu Senanayake, Fabio Ramos

Semi-Supervised StyleGAN for Disentanglement Learning

Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar.

“Zero-shot” Task Execution through Learning of Pixel-Based Action Preconditions

Kei Kase, Chris Paxton., Dieter Fox

6-DOF Grasping for Target-driven Object Manipulation in Clutter

Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton., Dieter Fox

Camera-to-Robot Pose Estimation from a Single Image

Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield

Controlling Assistive Robots with Learned Latent Actions

Dylan Losey, Krishnan Srinivasan, Ajay Uday Mandlekar, Animesh Garg, Dorsa Sadigh