Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. - Brian Ichter; Edward Schmerling; Ali-akbar Agha-mohammadi; Marco Pavone 001 (ICRA, 2017)

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. - Brian Ichter; Edward Schmerling; Marco Pavone 001 (IRC, 2017)

Perception-Aware Motion Planning via Multiobjective Search on GPUs. - Brian Ichter; Benoit Landry; Edward Schmerling; Marco Pavone 001 (ISRR, 2017)

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. - Brian Ichter; Benoit Landry; Edward Schmerling; Marco Pavone 001 (CoRR, 2017)

Learning Sampling Distributions for Robot Motion Planning. - Brian Ichter; James Harrison; Marco Pavone 001 (ICRA, 2018)

Deterministic sampling-based motion planning: Optimality, complexity, and performance. - Lucas Janson; Brian Ichter; Marco Pavone 001 (Int. J. Robotics Res., 2018)

Neural Collision Clearance Estimator for Fast Robot Motion Planning. - J. Chase Kew; Brian Ichter; Maryam Bandari; Tsang-Wei Edward Lee; Aleksandra Faust (CoRR, 2019)

Robot Motion Planning in Learned Latent Spaces. - Brian Ichter; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2019)

Learning Object-conditioned Exploration using Distributed Soft Actor Critic. - Ayzaan Wahid; Austin Stone; Kevin Chen; Brian Ichter; Alexander Toshev (CoRL, 2020)

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan; Aleksandra Faust (CoRL, 2020)

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. - Brian Ichter; Edward Schmerling; Tsang-Wei Edward Lee; Aleksandra Faust (ICRA, 2020)

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. - Xinlei Pan; Tingnan Zhang; Brian Ichter; Aleksandra Faust; Jie Tan; Sehoon Ha (ICRA, 2020)

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan; Aleksandra Faust (CoRR, 2020)

Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. - Brian Ichter; Pierre Sermanet; Corey Lynch (CoRL, 2021)

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. - Suraj Nair 003; Eric Mitchell; Kevin Chen 001; Brian Ichter; Silvio Savarese; Chelsea Finn (CoRL, 2021)

Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments. - Felipe Felix Arias; Brian Ichter; Aleksandra Faust; Nancy M. Amato (ICRA, 2021)

Neural Collision Clearance Estimator for Batched Motion Planning. - J. Chase Kew; Brian Ichter; Maryam Bandari; Tsang-Wei Edward Lee; Aleksandra Faust (WAFR, 2021)

Inner Monologue: Embodied Reasoning through Planning with Language Models. - Wenlong Huang; Fei Xia; Ted Xiao; Harris Chan; Jacky Liang; Pete Florence; Andy Zeng; Jonathan Tompson; Igor Mordatch; Yevgen Chebotar; Pierre Sermanet; Tomas Jackson; et al. (CoRL, 2022)

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)

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. - Dhruv Shah; Blazej Osinski; Brian Ichter; Sergey Levine (CoRL, 2022)

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. - Dhruv Shah; Peng Xu; Yao Lu 006; Ted Xiao; Alexander Toshev; Sergey Levine; Brian Ichter (ICLR, 2022)

Mechanical Search on Shelves using a Novel "Bluction" Tool. - Huang Huang; Michael Danielczuk; Chung Min Kim; Letian Fu; Zachary Tam; Jeffrey Ichnowski; Anelia Angelova; Brian Ichter; Ken Goldberg (ICRA, 2022)

Multi-Task Learning with Sequence-Conditioned Transporter Networks. - Michael H. Lim; Andy Zeng; Brian Ichter; Maryam Bandari; Erwin Coumans; Claire J. Tomlin; Stefan Schaal; Aleksandra Faust (ICRA, 2022)

Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. - Huang Huang; Letian Fu; Michael Danielczuk; Chung Min Kim; Zachary Tam; Jeffrey Ichnowski; Anelia Angelova; Brian Ichter; Ken Goldberg (ISRR, 2022)

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. - Jason Wei; Xuezhi Wang 002; Dale Schuurmans; Maarten Bosma; Brian Ichter; Fei Xia; Ed H. Chi; Quoc V. Le; Denny Zhou (NeurIPS, 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)

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)

FindThis: Language-Driven Object Disambiguation in Indoor Environments. - Arjun Majumdar; Fei Xia; Brian Ichter; Dhruv Batra; Leonidas J. Guibas (CoRL, 2023)

Large Language Models as General Pattern Machines. - Suvir Mirchandani; Fei Xia; Pete Florence; Brian Ichter; Danny Driess; Montserrat Gonzalez Arenas; Kanishka Rao; Dorsa Sadigh; Andy Zeng (CoRL, 2023)

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. - Dhruv Shah; Michael Robert Equi; Blazej Osinski; Fei Xia; Brian Ichter; Sergey Levine (CoRL, 2023)

Semantic Mechanical Search with Large Vision and Language Models. - Satvik Sharma; Huang Huang; Kaushik Shivakumar; Lawrence Yunliang Chen; Ryan Hoque; Brian Ichter; Ken Goldberg (CoRL, 2023)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu; Ted Xiao; Fei Xia; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng; Maria Attarian; Brian Ichter; Krzysztof Marcin Choromanski; Adrian Wong; Stefan Welker; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; et al. (ICLR, 2023)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 2023)

Open-vocabulary Queryable Scene Representations for Real World Planning. - Boyuan Chen 003; Fei Xia; Brian Ichter; Kanishka Rao; Keerthana Gopalakrishnan; Michael S. Ryoo; Austin Stone; Daniel Kappler (ICRA, 2023)

Code as Policies: Language Model Programs for Embodied Control. - Jacky Liang; Wenlong Huang; Fei Xia; Peng Xu; Karol Hausman; Brian Ichter; Pete Florence; Andy Zeng (ICRA, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. - Wenlong Huang; Fei Xia; Dhruv Shah; Danny Driess; Andy Zeng; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (NeurIPS, 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)

Scaling Robot Learning with Semantically Imagined Experience. - Tianhe Yu; Ted Xiao; Jonathan Tompson; Austin Stone; Su Wang; Anthony Brohan; Jaspiar Singh; Clayton Tan; Dee M; Jodilyn Peralta; Karol Hausman; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Demonstrating Large Language Models on Robots. - Andy Zeng; Brian Ichter; Fei Xia; Ted Xiao; Vikas Sindhwani (Robotics: Science and Systems, 2023)

From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models. - Satvik Sharma; Kaushik Shivakumar; Huang Huang; Ryan Hoque; Alishba Imran; Brian Ichter; Ken Goldberg (CoRR, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. - Wenlong Huang; Fei Xia; Dhruv Shah; Danny Driess; Andy Zeng; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (CoRR, 2023)

Physically Grounded Vision-Language Models for Robotic Manipulation. - Jensen Gao; Bidipta Sarkar; Fei Xia; Ted Xiao; Jiajun Wu 001; Brian Ichter; Anirudha Majumdar; Dorsa Sadigh (CoRR, 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)

Video Language Planning. - Yilun Du; Mengjiao Yang; Pete Florence; Fei Xia; Ayzaan Wahid; Brian Ichter; Pierre Sermanet; Tianhe Yu; Pieter Abbeel; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Andy Zeng; et al. (CoRR, 2023)

Conditionally Combining Robot Skills using Large Language Models. - K. R. Zentner; Ryan Julian; Brian Ichter; Gaurav S. Sukhatme (CoRR, 2023)

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. - Pierre Sermanet; Tianli Ding; Jeffrey Zhao; Fei Xia; Debidatta Dwibedi; Keerthana Gopalakrishnan; Christine Chan; Gabriel Dulac-Arnold; Sharath Maddineni; Nikhil J. Joshi; Pete Florence; Wei Han 002; et al. (CoRR, 2023)

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. - Chengshu Li 002; Jacky Liang; Andy Zeng; Xinyun Chen; Karol Hausman; Dorsa Sadigh; Sergey Levine; Li Fei-Fei 001; Fei Xia; Brian Ichter (CoRR, 2023)

Foundation Models in Robotics: Applications, Challenges, and the Future. - Roya Firoozi; Johnathan Tucker 001; Stephen Tian; Anirudha Majumdar; Jiankai Sun; Weiyu Liu; Yuke Zhu; Shuran Song; Ashish Kapoor; Karol Hausman; Brian Ichter; Danny Driess; et al. (CoRR, 2023)

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 (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)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. - Soroush Nasiriany; Fei Xia; Wenhao Yu 003; Ted Xiao; Jacky Liang; Ishita Dasgupta 001; Annie Xie; Danny Driess; Ayzaan Wahid; Zhuo Xu; Quan Vuong; Tingnan Zhang; et al. (CoRR, 2024)

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

CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments. - Adarsh Jagan Sathyamoorthy; Kasun Weerakoon; Mohamed Elnoor; Anuj Zore; Brian Ichter; Fei Xia; Jie Tan; Wenhao Yu 003; Dinesh Manocha (CoRR, 2024)