Brian Ichter

According to our database, Brian Ichter authored at least 54 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Dinesh Manocha

CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.

Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada

CoRR, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter

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, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu

CoRR, 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.

Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia

CoRR, 2024

2023

Foundation Models in Robotics: Applications, Challenges, and the Future.

Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager

CoRR, 2023

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.

Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

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, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao

CoRR, 2023

Conditionally Combining Robot Skills using Large Language Models.

K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme

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, Jonathan Tompson

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, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 2023

Physically Grounded Vision-Language Models for Robotic Manipulation.

Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh

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, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

CoRR, 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

Demonstrating Large Language Models on Robots.

Andy Zeng, Brian Ichter, Fei Xia, Ted Xiao, Vikas Sindhwani

Proceedings of the Robotics: Science and Systems XIX, Daegu, 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, Fei Xia

Proceedings of the Robotics: Science and Systems XIX, Daegu, 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, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents.

Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Open-vocabulary Queryable Scene Representations for Real World Planning.

Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler

Proceedings of the IEEE International Conference on Robotics and Automation, 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, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

Proceedings of the International Conference on Machine Learning, 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, Pete Florence

Proceedings of the Eleventh International Conference on Learning Representations, 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, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

Proceedings of the Conference on Robot Learning, 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

Proceedings of the Conference on Robot Learning, 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

Proceedings of the Conference on Robot Learning, 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

Proceedings of the Conference on Robot Learning, 2023

FindThis: Language-Driven Object Disambiguation in Indoor Environments.

Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas

Proceedings of the Conference on Robot Learning, 2023

Language to Rewards for Robotic Skill Synthesis.

Wenhao Yu, 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, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia

Proceedings of the Conference on Robot Learning, 2023

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, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan

CoRR, 2022

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Robotics Research, 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

Proceedings of the 2022 International Conference on Robotics and Automation, 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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.

Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter

Proceedings of the Tenth International Conference on Learning Representations, 2022

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action.

Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine

Proceedings of the Conference on Robot Learning, 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, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

Proceedings of the Conference on Robot Learning, 2022

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, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter

Proceedings of the Conference on Robot Learning, 2022

2021

Neural Collision Clearance Estimator for Batched Motion Planning.

J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments.

Felipe Felix Arias, Brian Ichter, Aleksandra Faust, Nancy M. Amato

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation.

Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning.

Brian Ichter, Pierre Sermanet, Corey Lynch

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation.

Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

CoRR, 2020

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation.

Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning.

Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous.

Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

Proceedings of the 4th Conference on Robot Learning, 2020

Learning Object-conditioned Exploration using Distributed Soft Actor Critic.

Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Robot Motion Planning in Learned Latent Spaces.

Brian Ichter, Marco Pavone

IEEE Robotics Autom. Lett., 2019

Neural Collision Clearance Estimator for Fast Robot Motion Planning.

J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust

CoRR, 2019

2018

Deterministic sampling-based motion planning: Optimality, complexity, and performance.

Lucas Janson, Brian Ichter, Marco Pavone

Int. J. Robotics Res., 2018

Learning Sampling Distributions for Robot Motion Planning.

Brian Ichter, James Harrison, Marco Pavone

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.

Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone

CoRR, 2017

Perception-Aware Motion Planning via Multiobjective Search on GPUs.

Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs.

Brian Ichter, Edward Schmerling, Marco Pavone

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs.

Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017