Rutav Shah

I am a second year Computer Science PhD student at UT Austin, co-advised by Prof. Yuke Zhu at the RPL lab and Prof. Roberto Martín-Martín at the RobIn lab. My research interests span the fields of Robotics and Machine Learning.

For my undergraduate thesis, I was co-advised by Prof. Abir Das (Computer Vision and Intelligence Research Lab at IIT Kharagpur) and Dr. Vikash Kumar (FAIR Pittsburgh).

Apart from research, I love teaching, trekking, and running! Some high altitude treks I have completed, Tapovan, Brahmatal in the Garhwal region and Buran Pass in the Himachal Himalayas.

Be kind, cheers!

Email  /  Resume  /  Google Scholar  /  Twitter  /  Github

profile photo
* Equal contribution    Equal advising
MUTEX MUTEX: Learning Unified Policies from Multimodal Task Specifications
Rutav Shah, Roberto Martín-Martín, Yuke Zhu
Conference on Robot Learning (CoRL), 2023
project page / arXiv
LOTUS LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu*, Rutav Shah*, Yuke Zhu
Technical Report arXiv:2311.02058, November 2023
project page / arXiv
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
Technical Report arXiv:2310.08864, October 2023
project page / arXiv
RoboHive: A Unified Framework for Robot Learning
Vikash Kumar, Rutav Shah*, Gaoyue Zhou*, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran
Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2023
project page / arXiv
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Conference on Neural Information Processing Systems (NeurIPS), 2021.
project page / arXiv
RRL: Resnet as Representation for Reinforcement Learning
Rutav Shah*, Vikash Kumar*
International Conference on Machine Learning (ICML), 2021.
project page / video / arXiv

Webpage template courtesy : Jon Barron