Anti-blur feedback for visually impaired users of smartphone cameras. - Pannag R. Sanketi; James M. Coughlan (ASSETS, 2010)

Localizing blurry and low-resolution text in natural images. - Pannag R. Sanketi; Huiying Shen; James M. Coughlan (WACV, 2011)

Sliding mode control with bounded inputs and its application to automotive coldstart emissions reduction. - Nasser L. Azad; Pannag R. Sanketi; J. Karl Hedrick (ACC, 2012)

Robotic Table Tennis with Model-Free Reinforcement Learning. - Wenbo Gao; Laura Graesser; Krzysztof Choromanski; Xingyou Song; Nevena Lazic; Pannag Sanketi; Vikas Sindhwani; Navdeep Jaitly (IROS, 2020)

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. - Saminda Wishwajith Abeyruwan; Laura Graesser; David B. D'Ambrosio; Avi Singh; Anish Shankar; Alex Bewley; Deepali Jain; Krzysztof Marcin Choromanski; Pannag R. Sanketi (CoRL, 2022)

Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (IROS, 2022)

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (CoRR, 2022)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Agile Catching with Whole-Body MPC and Blackbox Policy Learning. - Saminda Abeyruwan; Alex Bewley; Nicholas Matthew Boffi; Krzysztof Marcin Choromanski; David B. D'Ambrosio; Deepali Jain; Pannag R. Sanketi; Anish Shankar; Vikas Sindhwani; Sumeet Singh; Jean-Jacques E. Slotine; Stephen Tu (L4DC, 2023)

RT-1: Robotics Transformer for Real-World Control at Scale. - Anthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Joseph Dabis; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Jasmine Hsu; Julian Ibarz; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning. - Satoshi Kataoka; Youngseog Chung; Seyed Kamyar Seyed Ghasemipour; Pannag Sanketi; Shixiang Shane Gu; Igor Mordatch (CoRR, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

OpenVLA: An Open-Source Vision-Language-Action Model. - Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair 003; Rafael Rafailov; Ethan Paul Foster; Pannag R. Sanketi; Quan Vuong; Thomas Kollar; Benjamin Burchfiel; et al. (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. - Pierre Sermanet; Tianli Ding; Jeffrey Zhao; Fei Xia 002; Debidatta Dwibedi; Keerthana Gopalakrishnan; Christine Chan; Gabriel Dulac-Arnold; Sharath Maddineni; Nikhil J. Joshi; Pete Florence; Wei Han 002; et al. (ICRA, 2024)

Octo: An Open-Source Generalist Robot Policy. - Dibya Ghosh; Homer Rich Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; Lawrence Yunliang Chen; et al. (Robotics: Science and Systems, 2024)

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. - Vidhi Jain; Maria Attarian; Nikhil J. Joshi; Ayzaan Wahid; Danny Driess; Quan Vuong; Pannag R. Sanketi; Pierre Sermanet; Stefan Welker; Christine Chan; Igor Gilitschenski; Yonatan Bisk; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. - Michael Ahn; Debidatta Dwibedi; Chelsea Finn; Montse Gonzalez Arenas; Keerthana Gopalakrishnan; Karol Hausman; Brian Ichter; Alex Irpan; Nikhil J. Joshi; Ryan Julian; Sean Kirmani; Isabel Leal; et al. (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Octo: An Open-Source Generalist Robot Policy. - Octo Model Team; Dibya Ghosh; Homer Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; et al. (CoRR, 2024)

VADER: Visual Affordance Detection and Error Recovery for Multi Robot Human Collaboration. - Michael Ahn; Montserrat Gonzalez Arenas; Matthew Bennice; Noah Brown; Christine Chan; Byron David; Anthony G. Francis; Gavin Gonzalez; Rainer Hessmer; Tomas Jackson; Nikhil J. Joshi; Daniel Lam; et al. (CoRR, 2024)

OpenVLA: An Open-Source Vision-Language-Action Model. - Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair 003; Rafael Rafailov; Ethan Paul Foster; Grace Lam; Pannag Sanketi; Quan Vuong; Thomas Kollar; et al. (CoRR, 2024)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; et al. (CoRR, 2024)

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. - Kin Man Lee; Sean Ye; Qingyu Xiao; Zixuan Wu; Zulfiqar Zaidi; David B. D'Ambrosio; Pannag R. Sanketi; Matthew C. Gombolay (CoRR, 2024)

Robot Data Curation with Mutual Information Estimators. - Joey Hejna; Suvir Mirchandani; Ashwin Balakrishna; Annie Xie; Ayzaan Wahid; Jonathan Tompson; Pannag Sanketi; Dhruv Shah; Coline Devin; Dorsa Sadigh (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement. - Heni Ben Amor; Laura Graesser; Atil Iscen; David B. D'Ambrosio; Saminda Abeyruwan; Alex Bewley; Yifan Zhou; Kamalesh Kalirathinam; Swaroop Mishra; Pannag Sanketi (CoRR, 2025)

Robo-DM: Data Management For Large Robot Datasets. - Kaiyuan Chen 001; Letian Fu; David Huang; Yanxiang Zhang; Lawrence Yunliang Chen; Huang Huang; Kush Hari; Ashwin Balakrishna; Ted Xiao; Pannag R. Sanketi; John Kubiatowicz; Ken Goldberg (CoRR, 2025)