Generating multi-fingered robotic grasps via deep learning. - Jacob Varley; Jonathan Weisz; Jared Weiss; Peter K. Allen (IROS, 2015)

Shape Completion Enabled Robotic Grasping. - Jacob Varley; Chad DeChant; Adam Richardson; Avinash Nair; Joaquín Ruales; Peter K. Allen (CoRR, 2016)

Shape completion enabled robotic grasping. - Jacob Varley; Chad DeChant; Adam Richardson; Joaquín Ruales; Peter K. Allen (IROS, 2017)

Workspace Aware Online Grasp Planning. - Iretiayo Akinola; Jacob Varley; Boyuan Chen 001; Peter K. Allen (IROS, 2018)

Human Robot Interface for Assistive Grasping. - David Watkins-Valls; Chaiwen Chou; Caroline Weinberg; Jacob Varley; Kenneth R. Lyons; Sanjay S. Joshi; Lynne M. Weber; Joel Stein; Peter K. Allen (CoRR, 2018)

Learning To Grasp. - Jacob Varley (2018)

MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning. - Bohan Wu; Iretiayo Akinola; Jacob Varley; Peter K. Allen (CoRL, 2019)

Multi-Modal Geometric Learning for Grasping and Manipulation. - David Watkins-Valls; Jacob Varley; Peter K. Allen (ICRA, 2019)

Teleoperator Imitation with Continuous-Time Safety. - Bachir El Khadir; Jacob Varley; Vikas Sindhwani (Robotics: Science and Systems, 2019)

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

Ode to an ODE. - Krzysztof Marcin Choromanski; Jared Quincy Davis; Valerii Likhosherstov; Xingyou Song; Jean-Jacques E. Slotine; Jacob Varley; Honglak Lee; Adrian Weller; Vikas Sindhwani (NeurIPS, 2020)

Generative Attention Learning: a "GenerAL" framework for high-performance multi-fingered grasping in clutter. - Bohan Wu; Iretiayo Akinola; Abhi Gupta; Feng Xu; Jacob Varley; David Watkins-Valls; Peter K. Allen (Auton. Robots, 2020)

An Ode to an ODE. - Krzysztof Choromanski; Jared Quincy Davis; Valerii Likhosherstov; Xingyou Song; Jean-Jacques E. Slotine; Jacob Varley; Honglak Lee; Adrian Weller; Vikas Sindhwani (CoRR, 2020)

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

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)

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)

Multiscale Sensor Fusion and Continuous Control with Neural CDEs. - Sumeet Singh; Francis McCann Ramirez; Jacob Varley; Andy Zeng 001; Vikas Sindhwani (IROS, 2022)

Mobile Manipulation Leveraging Multiple Views. - David Watkins-Valls; Peter K. Allen; Henrique Maia; Madhavan Seshadri; Jonathan Sanabria; Nicholas R. Waytowich; Jacob Varley (IROS, 2022)

Multiple View Performers for Shape Completion. - David Watkins-Valls; Peter E. Allen; Krzysztof Choromanski; Jacob Varley; Nicholas R. Waytowich (CoRR, 2022)

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