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

Research

^* Equal contribution ^† Equal advising

	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: 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

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