PRISM: Pose Registration for Integrated Semantic Mapping. - Justin W. Hart; Rishi Shah; Sean Kirmani; Nick Walker 001; Kathryn Baldauf; Nathan John; Peter Stone 001 (IROS, 2018)

Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability. - Rolando Fernandez; Nathan John; Sean Kirmani; Justin W. Hart; Jivko Sinapov; Peter Stone 001 (RO-MAN, 2018)

Practical Imitation Learning in the Real World via Task Consistency Loss. - Mohi Khansari; Daniel Ho; Yuqing Du; Armando Fuentes; Matthew Bennice; Nicolas Sievers; Sean Kirmani; Yunfei Bai; Eric Jang (CoRR, 2022)

Language to Rewards for Robotic Skill Synthesis. - Wenhao Yu 003; Nimrod Gileadi; Chuyuan Fu; Sean Kirmani; Kuang-Huei Lee; Montserrat Gonzalez Arenas; Hao-Tien Lewis Chiang; Tom Erez; Leonard Hasenclever; Jan Humplik; Brian Ichter; Ted Xiao; et al. (CoRL, 2023)

Open-World Object Manipulation using Pre-Trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Sean Kirmani; Brianna Zitkovich; Fei Xia 002; Chelsea Finn; Karol Hausman (CoRL, 2023)

Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. - Mohi Khansari; Daniel Ho; Yuqing Du; Armando Fuentes; Matthew Bennice; Nicolas Sievers; Sean Kirmani; Yunfei Bai; Eric Jang (ICRA, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (Robotics: Science and Systems, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (CoRR, 2023)

Evaluating Real-World Robot Manipulation Policies in Simulation. - Xuanlin Li; Kyle Hsu; Jiayuan Gu; Oier Mees; Karl Pertsch; Homer Rich Walke; Chuyuan Fu; Ishikaa Lunawat; Isabel Sieh; Sean Kirmani; Sergey Levine; Jiajun Wu 001; et al. (CoRL, 2024)

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. - Priya Sundaresan; Quan Vuong; Jiayuan Gu; Peng Xu 010; Ted Xiao; Sean Kirmani; Tianhe Yu; Michael Stark 003; Ajinkya Jain; Karol Hausman; Dorsa Sadigh; Jeannette Bohg; et al. (CoRL, 2024)

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. - Zhuo Xu; Hao-Tien Lewis Chiang; Zipeng Fu; Mithun George Jacob; Tingnan Zhang; Tsang-Wei Edward Lee; Wenhao Yu 003; Connor Schenck; David Rendleman; Dhruv Shah; Fei Xia 002; Jasmine Hsu; et al. (CoRL, 2024)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. - Boyuan Chen 003; Zhuo Xu; Sean Kirmani; Brian Ichter; Dorsa Sadigh; Leonidas J. Guibas; Fei Xia 002 (CVPR, 2024)

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. - Jiayuan Gu; Sean Kirmani; Paul Wohlhart; Yao Lu 006; Montserrat Gonzalez Arenas; Kanishka Rao; Wenhao Yu 003; Chuyuan Fu; Keerthana Gopalakrishnan; Zhuo Xu; Priya Sundaresan; Peng Xu 010; et al. (ICLR, 2024)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. - Soroush Nasiriany; Fei Xia 002; Wenhao Yu 003; Ted Xiao; Jacky Liang; Ishita Dasgupta 001; Annie Xie; Danny Driess; Ayzaan Wahid; Zhuo Xu; Quan Vuong; Tingnan Zhang; et al. (ICML, 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)

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)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. - Boyuan Chen 003; Zhuo Xu; Sean Kirmani; Brian Ichter; Danny Driess; Pete Florence; Dorsa Sadigh; Leonidas J. Guibas; Fei Xia 002 (CoRR, 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)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. - Homanga Bharadhwaj; Debidatta Dwibedi; Abhinav Gupta 001; Shubham Tulsiani; Carl Doersch; Ted Xiao; Dhruv Shah; Fei Xia 002; Dorsa Sadigh; Sean Kirmani (CoRR, 2024)

RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. - Soroush Nasiriany; Sean Kirmani; Tianli Ding; Laura Smith; Yuke Zhu; Danny Driess; Dorsa Sadigh; Ted Xiao (CoRR, 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)

Vision Language Models are In-Context Value Learners. - Yecheng Jason Ma; Joey Hejna; Ayzaan Wahid; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu 010; Danny Driess; Ted Xiao; Jonathan Tompson; et al. (CoRR, 2024)

Vision Language Models are In-Context Value Learners. - Yecheng Jason Ma; Joey Hejna; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu 010; Danny Driess; Ted Xiao; Osbert Bastani; Dinesh Jayaraman; et al. (ICLR, 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)