Tracking deformable objects with point clouds. - John Schulman; Alex X. Lee; Jonathan Ho; Pieter Abbeel (ICRA, 2013)

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles. - Alex X. Lee; Yan Duan; Sachin Patil; John Schulman; Zoe McCarthy; Jur van den Berg; Ken Goldberg; Pieter Abbeel (IROS, 2013)

Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization. - John Schulman; Jonathan Ho; Alex X. Lee; Ibrahim Awwal; Henry Bradlow; Pieter Abbeel (Robotics: Science and Systems, 2013)

Autonomous multilateral debridement with the Raven surgical robot. - Ben Kehoe; Gregory Kahn; Jeffrey Mahler; Jonathan Kim; Alex X. Lee; Anna Lee; Keisuke Nakagawa; Sachin Patil; W. Douglas Boyd; Pieter Abbeel; Kenneth Y. Goldberg (ICRA, 2014)

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. - Alex X. Lee; Sandy H. Huang; Dylan Hadfield-Menell; Eric Tzeng; Pieter Abbeel (IROS, 2014)

Motion planning with sequential convex optimization and convex collision checking. - John Schulman; Yan Duan; Jonathan Ho; Alex X. Lee; Ibrahim Awwal; Henry Bradlow; Jia Pan 001; Sachin Patil; Ken Goldberg; Pieter Abbeel (Int. J. Robotics Res., 2014)

Beyond lowest-warping cost action selection in trajectory transfer. - Dylan Hadfield-Menell; Alex X. Lee; Chelsea Finn; Eric Tzeng; Sandy H. Huang; Pieter Abbeel (ICRA, 2015)

A non-rigid point and normal registration algorithm with applications to learning from demonstrations. - Alex X. Lee; Max A. Goldstein; Shane T. Barratt; Pieter Abbeel (ICRA, 2015)

Learning force-based manipulation of deformable objects from multiple demonstrations. - Alex X. Lee; Henry Lu; Abhishek Gupta 004; Sergey Levine; Pieter Abbeel (ICRA, 2015)

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation. - Alex X. Lee; Abhishek Gupta 004; Henry Lu; Sergey Levine; Pieter Abbeel (IROS, 2015)

Self-Supervised Visual Planning with Temporal Skip Connections. - Frederik Ebert; Chelsea Finn; Alex X. Lee; Sergey Levine (CoRL, 2017)

Learning Visual Servoing with Deep Features and Fitted Q-Iteration. - Alex X. Lee; Sergey Levine; Pieter Abbeel (ICLR (Poster), 2017)

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. - Frederik Ebert; Sudeep Dasari; Alex X. Lee; Sergey Levine; Chelsea Finn (CoRL, 2018)

Stochastic Adversarial Video Prediction. - Alex X. Lee; Richard Zhang; Frederik Ebert; Pieter Abbeel; Chelsea Finn; Sergey Levine (CoRR, 2018)

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control. - Frederik Ebert; Chelsea Finn; Sudeep Dasari; Annie Xie; Alex X. Lee; Sergey Levine (CoRR, 2018)

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model. - Alex X. Lee; Anusha Nagabandi; Pieter Abbeel; Sergey Levine (NeurIPS, 2020)

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. - Alex X. Lee; Coline Manon Devin; Yuxiang Zhou; Thomas Lampe; Konstantinos Bousmalis; Jost Tobias Springenberg; Arunkumar Byravan; Abbas Abdolmaleki; Nimrod Gileadi; David Khosid; Claudio Fantacci; José Enrique Chen; et al. (CoRL, 2021)

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation. - Alex X. Lee; Coline Devin; Jost Tobias Springenberg; Yuxiang Zhou; Thomas Lampe; Abbas Abdolmaleki; Konstantinos Bousmalis (IROS, 2022)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)

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)