Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Dmitry Kalashnikov; Alex Irpan; Peter Pastor; Julian Ibarz; Alexander Herzog; Eric Jang; Deirdre Quillen; Ethan Holly; Mrinal Kalakrishnan; Vincent Vanhoucke; Sergey Levine (CoRL, 2018)

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Dmitry Kalashnikov; Alex Irpan; Peter Pastor; Julian Ibarz; Alexander Herzog; Eric Jang; Deirdre Quillen; Ethan Holly; Mrinal Kalakrishnan; Vincent Vanhoucke; Sergey Levine (CoRR, 2018)

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. - Stephen James; Paul Wohlhart; Mrinal Kalakrishnan; Dmitry Kalashnikov; Alex Irpan; Julian Ibarz; Sergey Levine; Raia Hadsell; Konstantinos Bousmalis (CVPR, 2019)

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. - Ted Xiao; Eric Jang; Dmitry Kalashnikov; Sergey Levine; Julian Ibarz; Karol Hausman; Alexander Herzog (ICLR, 2020)

Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras. - Iretiayo Akinola; Jacob Varley; Dmitry Kalashnikov (ICRA, 2020)

Disentangled Planning and Control in Vision Based Robotics via Reward Machines. - Alberto Camacho; Jacob Varley; Deepali Jain; Atil Iscen; Dmitry Kalashnikov (CoRR, 2020)

Scaling Up Multi-Task Robotic Reinforcement Learning. - Dmitry Kalashnikov; Jake Varley; Yevgen Chebotar; Benjamin Swanson; Rico Jonschkowski; Chelsea Finn; Sergey Levine; Karol Hausman (CoRL, 2021)

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale. - Yao Lu 006; Karol Hausman; Yevgen Chebotar; Mengyuan Yan; Eric Jang; Alexander Herzog; Ted Xiao; Alex Irpan; Mohi Khansari; Dmitry Kalashnikov; Sergey Levine (CoRL, 2021)

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. - Yevgen Chebotar; Karol Hausman; Yao Lu 006; Ted Xiao; Dmitry Kalashnikov; Jacob Varley; Alex Irpan; Benjamin Eysenbach; Ryan Julian; Chelsea Finn; Sergey Levine (ICML, 2021)

Visionary: Vision architecture discovery for robot learning. - Iretiayo Akinola; Anelia Angelova; Yao Lu 006; Yevgen Chebotar; Dmitry Kalashnikov; Jacob Varley; Julian Ibarz; Michael S. Ryoo (ICRA, 2021)

Reward Machines for Vision-Based Robotic Manipulation. - Alberto Camacho; Jacob Varley; Andy Zeng 001; Deepali Jain; Atil Iscen; Dmitry Kalashnikov (ICRA, 2021)

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. - Yevgen Chebotar; Karol Hausman; Yao Lu 006; Ted Xiao; Dmitry Kalashnikov; Jake Varley; Alex Irpan; Benjamin Eysenbach; Ryan Julian; Chelsea Finn; Sergey Levine (CoRR, 2021)

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale. - Dmitry Kalashnikov; Jacob Varley; Yevgen Chebotar; Benjamin Swanson; Rico Jonschkowski; Chelsea Finn; Sergey Levine; Karol Hausman (CoRR, 2021)

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. - Yao Lu 006; Karol Hausman; Yevgen Chebotar; Mengyuan Yan; Eric Jang; Alexander Herzog; Ted Xiao; Alex Irpan; Mohi Khansari; Dmitry Kalashnikov; Sergey Levine (CoRR, 2021)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Brian Ichter; Anthony Brohan; Yevgen Chebotar; Chelsea Finn; Karol Hausman; Alexander Herzog; Daniel Ho; Julian Ibarz; Alex Irpan; Eric Jang; Ryan Julian; Dmitry Kalashnikov; et al. (CoRL, 2022)

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. - Xuesu Xiao; Tingnan Zhang; Krzysztof Marcin Choromanski; Tsang-Wei Edward Lee; Anthony G. Francis; Jake Varley; Stephen Tu; Sumeet Singh; Peng Xu 010; Fei Xia 002; Sven Mikael Persson; Dmitry Kalashnikov; et al. (CoRL, 2022)

Hybrid Random Features. - Krzysztof Marcin Choromanski; Han Lin; Haoxian Chen 002; Arijit Sehanobish; Yuanzhe Ma; Deepali Jain; Jake Varley; Andy Zeng 001; Michael S. Ryoo; Valerii Likhosherstov; Dmitry Kalashnikov; Vikas Sindhwani; et al. (ICLR, 2022)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Michael Ahn; Anthony Brohan; Noah Brown; Yevgen Chebotar; Omar Cortes; Byron David; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Daniel Ho; Jasmine Hsu; et al. (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)

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)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

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)

STEER: Flexible Robotic Manipulation via Dense Language Grounding. - Laura Smith; Alex Irpan; Montserrat Gonzalez Arenas; Sean Kirmani; Dmitry Kalashnikov; Dhruv Shah; Ted Xiao (CoRR, 2024)

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. - Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)

Predictive Red Teaming: Breaking Policies Without Breaking Robots. - Anirudha Majumdar; Mohit Sharma 001; Dmitry Kalashnikov; Sumeet Singh; Pierre Sermanet; Vikas Sindhwani (CoRR, 2025)

Generating Robot Constitutions & Benchmarks for Semantic Safety. - Pierre Sermanet; Anirudha Majumdar; Alex Irpan; Dmitry Kalashnikov; Vikas Sindhwani (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)