Paarth Shah

According to our database, Paarth Shah authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies.

Sarvesh Patil, Mitsuhiko Nakamoto, Manan Agarwal, Shashwat Saxena, Jesse Zhang, Giri Anantharaman, Cleah Winston, Chaoyi Pan, Douglas Chen, Nai-Chieh Huang, Zeynep Temel, Oliver Kroemer, Sergey Levine, Abhishek Gupta, Hongkai Dai, Paarth Shah, Max Simchowitz

CoRR, May, 2026

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models.

Jean Mercat, Sedrick Keh, Kushal Arora, Isabella Huang, Paarth Shah, Haruki Nishimura, Shun Iwase, Katherine Liu

CoRR, April, 2026

A Systematic Study of Data Modalities and Strategies for Co-training Large Behavior Models for Robot Manipulation.

Fanqi Lin, Kushal Arora, Jean Mercat, Haruki Nishimura, Paarth Shah, Chen Xu, Mengchao Zhang, Mark Zolotas, Maya Angeles, Owen Pfannenstiehl, Andrew Beaulieu, Jose A. Barreiros

CoRR, February, 2026

A careful examination of large behavior models for multitask dexterous manipulation.

Jose A. Barreiros, Andrew Beaulieu, Aditya Bhat, Rick Cory, Eric Cousineau, Hongkai Dai, Ching-Hsin Fang, Kunimatsu Hashimoto, Muhammad Zubair Irshad, Masha Itkina, Naveen Kuppuswamy, Kuan-Hui Lee, Katherine Liu, Dale McConachie, Ian McMahon, Haruki Nishimura, Calder Phillips-Grafflin, Charles Richter, Paarth Shah, Krishnan Srinivasan, Blake Wulfe, Chen Xu, Mengchao Zhang, Alex Alspach, Maya Angeles, Kushal Arora, Vitor Campagnolo Guizilini, Alejandro M. Castro, Dian Chen, Ting-Sheng Chu, Sam Creasey, Sean Curtis, Richard Denitto, Emma Dixon, Eric Dusel, Matthew Ferreira, Aimee Goncalves, Grant Gould, Damrong Guoy, Swati Gupta, Xuchen Han, Kyle Hatch, Brendan Hathaway, Allison Henry, Hillel Hochsztein, Phoebe Horgan, Shun Iwase, Donovon Jackson, Siddharth Karamcheti, Sedrick Keh, Joseph Masterjohn, Masayuki Masuda, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Rocha, Gordon Richardson, Christopher Rodriguez, Derick Seale, Michael A. Sherman, Mariah Smith-Jones, David Tago, Pavel Tokmakov, Matthew Tran, Basile Van Hoorick, Igor Vasiljevic, Sergey Zakharov, Mark Zolotas, Rares Ambrus, Kerri Fetzer-Borelli, Benjamin Burchfiel, Hadas Kress-Gazit, Siyuan Feng, Stacie Ford, Russ Tedrake

Sci. Robotics, 2026

2025

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning.

Kevin Huang, Rosario Scalise, Cleah Winston, Ayush Agrawal, Yunchu Zhang, Rohan Baijal, Markus Grotz, Byron Boots, Benjamin Burchfiel, Masha Itkina, Paarth Shah, Abhishek Gupta

CoRR, October, 2025

Video Generators are Robot Policies.

Junbang Liang, Pavel Tokmakov, Ruoshi Liu, Sruthi Sudhakar, Paarth Shah, Rares Ambrus, Carl Vondrick

CoRR, August, 2025

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity.

Guang Yin, Yitong Li, Yixuan Wang, Dale McConachie, Paarth Shah, Kunimatsu Hashimoto, Huan Zhang, Katherine Liu, Yunzhu Li

CoRR, June, 2025

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta

CoRR, April, 2025

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies.

Chen Xu, Tony Khuong Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Tree Miller, Robert Lee, Paarth Shah, Rares Ambrus, Haruki Nishimura, Masha Itkina

CoRR, March, 2025

Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation.

Jessica Yin, Paarth Shah, Naveen Kuppuswamy, Andrew Beaulieu, Avinash Uttamchandani, Alejandro M. Castro, James H. Pikul, Russ Tedrake

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

How Generalizable is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation.

Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar

IEEE Robotics Autom. Lett., October, 2024

Robot Learning as an Empirical Science: Best Practices for Policy Evaluation.

Hadas Kress-Gazit, Kunimatsu Hashimoto, Naveen Kuppuswamy, Paarth Shah, Phoebe Horgan, Gordon Richardson, Siyuan Feng, Benjamin Burchfiel

CoRR, 2024

2023

BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning.

Avadesh Meduri, Paarth Shah, Julian Viereck, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti

IEEE Trans. Robotics, April, 2023

Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion.

Victor Dhédin, Haolong Li, Shahram Khorshidi, Lukas Mack, Adithya Kumar Chinnakkonda Ravi, Avadesh Meduri, Paarth Shah, Felix Grimminger, Ludovic Righetti, Majid Khadiv, Joerg Stueckler

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Differentiable and Learnable Robot Models.

Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah

CoRR, 2022

2021

Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent.

Paarth Shah, Avadesh Meduri, Wolfgang Merkt, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021