Task level hierarchical system for BCI-enabled shared autonomy. - Iretiayo Akinola; Boyuan Chen 001; Jonathan Koss; Aalhad Patankar; Jake Varley; Peter K. Allen (Humanoids, 2017)

Teleoperator Imitation with Continuous-time Safety. - Bachir El Khadir; Jake Varley; Vikas Sindhwani (CoRR, 2019)

Time Dependence in Non-Autonomous Neural ODEs. - Jared Quincy Davis; Krzysztof Choromanski; Jake Varley; Honglak Lee; Jean-Jacques E. Slotine; Valerii Likhosterov; Adrian Weller; Ameesh Makadia; Vikas Sindhwani (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)

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)

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)

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning. - Aditya Ganapathi; Pete Florence; Jake Varley; Kaylee Burns; Ken Goldberg; Andy Zeng 001 (ICRA, 2022)

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. - Allen Z. Ren; Anushri Dixit; Alexandra Bodrova; Sumeet Singh; Stephen Tu; Noah Brown; Peng Xu 010; Leila Takayama; Fei Xia 002; Jake Varley; Zhenjia Xu; Dorsa Sadigh; et al. (CoRL, 2023)

Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. - David Brandfonbrener; Stephen Tu; Avi Singh; Stefan Welker; Chad Boodoo; Nikolai Matni; Jake Varley (ICRA, 2023)

Modeling the Real World with High-Density Visual Particle Dynamics. - William F. Whitney; Jake Varley; Deepali Jain; Krzysztof Marcin Choromanski; Sumeet Singh; Vikas Sindhwani (CoRL, 2024)

How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. - Montserrat Gonzalez Arenas; Ted Xiao; Sumeet Singh; Vidhi Jain; Allen Z. Ren; Quan Vuong; Jake Varley; Alexander Herzog; Isabel Leal; Sean Kirmani; Mario Prats; Dorsa Sadigh; et al. (ICRA, 2024)

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. - Isabel Leal; Krzysztof Choromanski; Deepali Jain; Avinava Dubey; Jake Varley; Michael S. Ryoo; Yao Lu 006; Frederick Liu; Vikas Sindhwani; Quan Vuong; Tamás Sarlós; Ken Oslund; et al. (ICRA, 2024)

Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. - Jake Varley; Sumeet Singh; Deepali Jain; Krzysztof Choromanski; Andy Zeng 001; Somnath Basu Roy Chowdhury; Avinava Dubey; Vikas Sindhwani (IROS, 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)

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)