PolaRiS

PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies

A. Jain*, M. Zhang*, K. Arora, W. Chen, M. Torne, M. Z. Irshad, S. Zakharov, Y. Wang, S. Levine, C. Finn, W.-C. Ma, D. Shah, A. Gupta, K. Pertsch

RoboArena

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies

P. Atreya*, K. Pertsch*, T. Lee*, M. J. Kim, A. Jain, A. Kuramshin, C. Eppner, C. Neary, E. Hu, F. Ramos, J. Tremblay, K. Arora, K. Ellis, L. Macesanu, M. T. Villasevil, M. Leonard, M. Cho, O. Aslan, S. Dass, J. Wang, W. Reger, X. Yuan, X. Yang, A. Gupta, D. Jayaraman, G. Berseth, K. Daniilidis, R. Martin-Martin, Y. Lee, P. Liang, C. Finn, S. Levine CoRL 2025

DRAWER

Drawer: Digital Reconstruction and Articulation with Environment Realism

H. Xia, E. Su, M. Memmel, A. Jain, R. Yu, N. Mbiziwo-Tiapo, A. Farhadi, A. Gupta, S. Wang, W.-C. Ma CVPR 2025

SCAR

Robot Learning with Super-Linear Scaling

M. Torne*, A. Jain*, J. Yuan*, V. Macha*, L. Ankile, A. Simeonov, P. Agrawal, A. Gupta RSS 2025

DROID

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

A. Khazatsky*, K. Pertsch*, S. Nair, A. Balakrishna, S. Dasari, S. Karamcheti, S. Nasiriany, M. Kumar Srirama, L. Y. Chen, K. Ellis, P. D. Fagan, J. Hejna, M. Itkina, M. Lepert, Y. J. Ma, P. T. Miller, J. Wu, S. Belkhale, S. Dass, H. Ha, A. Jain, A. Lee, Y. Lee, M. Memmel, S. Park, I. Radosavovic, K. Wang, A. Zhan, K. Black, C. Chi, K. B. Hatch, S. Lin, J. Lu, J. Mercat, A. Rehman, P. R. Sanketi, A. Sharma, C. Simpson, Q. Vuong, H. R. Walke, B. Wulfe, T. Xiao, J. H. Yang, A. Yavary, T. Z. Zhao, C. Agia, R. Baijal, M. G. Castro, D. Chen, Q. Chen, T. Chung, J. Drake, E. P. Foster, J. Gao, V. Guizilini, D. A. Herrera, M. Heo, K. Hsu, J. Hu, M. Z. Irshad, D. Jackson, C. Le, Y. Li, K. Lin, R. Lin, Z. Ma, A. Maddukuri, S. Mirchandani, D. Morton, T. Nguyen, A. O'Neill, R. Scalise, D. Seale, V. Son, S. Tian, E. Tran, A. E. Wang, Y. Wu, A. Xie, J. Y. Yang, P. Yin, Y. Zhang, O. Bastani, G. Berseth, J. Bohg, K. Goldberg, A. Gupta, A. Gupta, D. Jayaraman, J. J. Lim, J. Malik, R. M. Martín-Martín, S. Ramamoorthy, D. Sadigh, S. Song, J. Wu, M. C. Yip, Y. Zhu, T. Kollar, S. Levine, C. Finn RSS 2024

Open X-Embodiment

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Open X-Embodiment Collaboration ICRA 2024 Best Paper

PBSCR

PBSCR: The Piano Bootleg Score Composer Recognition Dataset

A. Jain*, A. Bunn*, A. Pham*, T.J. Tsai TISMR 2024

Arhan Jain

robots, research, sometimes other things

Arhan Jain

I'm a PhD student at the WEIRD Lab at UW, where I work on getting robots to learn tasks with high reliability and autonomous improvement. Happily advised by Abhishek Gupta.

Lately I've been thinking about simulation evaluation, policy improvement, and giving policies memory.

UW University of Washington PhD, Robot Learning
TRI Toyota Research Institute VLA Improvement
UW University of Washington BS, Computer Science
Harvey Mudd Harvey Mudd Audio & Music AI Research
Arrcus Arrcus Network Anomaly Detection
Presso Presso Computer Vision, Android App Dev

Personal

When I'm not in the lab, I'm hiking, traveling, or hanging with my dog. (As of late, I've mostly been in the lab 😉)