Researcher at Stanford's REALab, studying Computer Science. Prior to joining the REALab, I conducted research at SVL, where I worked on developing brain robot interfaces.

Ryan Punamiya¹, Simar Kareer¹, Zeyi Liu², Josh Citron², Ri-Zhao Qiu³, Xiongyi Cai³, Alexey Gavryushin⁴, Jiaqi Chen⁴, Davide Liconti⁴, Lawrence Y. Zhu¹, Patcharapong Aphiwetsa¹, Baoyu Li¹, Aniketh Cheluva¹, Pranav Kuppili¹, Yangcen Liu¹, Dhruv Patel¹, Aidan Gao¹, Hye-Young Chung¹, Ryan Co¹, Renee Zbizika², Jeff Liu², Xiaomeng Xu², Haoyu Xiong², Geng Chen², Sebastiano Oliani², Chenyu Yang², Xi Wang², James Fort², Richard Newcombe², Josh Gao², Jason Chong², Garrett Matsuda², Aseem Doriwala², Marc Pollefeys⁴, Robert Katzschmann⁴, Xiaolong Wang³, Shuran Song², Judy Hoffman¹, Danfei Xu^1
1Georgia Tech    ²Stanford    ³USC    ⁴ETH Zurich
arXiv 2025

Webpage  •   Paper  •   Code

TL;DR: A data collection and policy learning framework that learns whole-body mobile manipulation directly from robot-free human demonstrations.

Wensi Ai, Ruohan Zhang, Karthik Dharmarajan, Nishal P Shah, Chaofei Fan, Tasha Kim, Yunfan Jiang, Chen Wang, Alex Hodges, Renee Zbizika, Mattia Rigotti-Thompson, Donald Avansino, Nick Hahn, Akansha Singh, Foram Kamdar, Payton Bechefsky, Alexander Acosta, Lucille Panagos, Kushaal Rao, Bayardo E. Lacayo, Carlos E. Vargas-Irwin, Nicholas Au Yong, Chethan Pandarinath, Leigh Hochberg, Francis R Willett, Jaimie M. Henderson, Li Fei-Fei, and Jiajun Wu.
In submission to Science Robotics (2025)

TL;DR: A brain-robot interface system enabling dexterous robot manipulation via neural signals from intracortical recordings.