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2020 – today
- 2023
[i27]Tianhe Yu, Ted Xiao, Austin Stone, Jonathan Tompson, Anthony Brohan, Su Wang, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Brian Ichter, Karol Hausman, Fei Xia:
Scaling Robot Learning with Semantically Imagined Experience. CoRR abs/2302.11550 (2023)- [i26]Satvik Sharma, Kaushik Shivakumar, Huang Huang, Ryan Hoque, Alishba Imran, Brian Ichter, Ken Goldberg:
From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models. CoRR abs/2302.12915 (2023) - [i25]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR abs/2303.00855 (2023) - [i24]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:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - 2022
- [c21]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:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRL 2022: 287-318 - [c20]Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine:
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. CoRL 2022: 492-504 - [c19]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:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL 2022: 1769-1782 - [c18]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. ICLR 2022 - [c17]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA 2022: 2489-2496 - [c16]Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg:
Mechanical Search on Shelves using a Novel "Bluction" Tool. ICRA 2022: 6158-6164 - [c15]Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg:
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. ISRR 2022: 205-221 - [c14]Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou:
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS 2022 - [i23]Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg:
Mechanical Search on Shelves using a Novel "Bluction" Tool. CoRR abs/2201.08968 (2022) - [i22]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:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR abs/2204.01691 (2022) - [i21]Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg:
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. CoRR abs/2207.02347 (2022) - [i20]Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine:
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. CoRR abs/2207.04429 (2022) - [i19]Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR abs/2207.05608 (2022) - [i18]Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng:
Code as Policies: Language Model Programs for Embodied Control. CoRR abs/2209.07753 (2022) - [i17]Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler:
Open-vocabulary Queryable Scene Representations for Real World Planning. CoRR abs/2209.09874 (2022) - [i16]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 Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich:
RT-1: Robotics Transformer for Real-World Control at Scale. CoRR abs/2212.06817 (2022) - 2021
- [c13]Brian Ichter, Pierre Sermanet, Corey Lynch:
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. CoRL 2021: 59-69 - [c12]Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRL 2021: 1303-1315 - [c11]Felipe Felix Arias, Brian Ichter, Aleksandra Faust, Nancy M. Amato:
Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments. ICRA 2021: 10264-10270 - [c10]J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust:
Neural Collision Clearance Estimator for Batched Motion Planning. WAFR 2021: 73-89 - [i15]Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRR abs/2109.01115 (2021) - [i14]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR abs/2109.07578 (2021) - [i13]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. CoRR abs/2111.03189 (2021) - 2020
- [c9]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. CoRL 2020: 711-725 - [c8]Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev:
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. CoRL 2020: 1684-1695 - [c7]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. ICRA 2020: 679-685 - [c6]Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust:
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. ICRA 2020: 9535-9541 - [i12]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. CoRR abs/2003.06906 (2020) - [i11]Ayzaan Wahid, Austin Stone
, Kevin Chen, Brian Ichter, Alexander Toshev:
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. CoRR abs/2007.14545 (2020) - [i10]Brian Ichter, Pierre Sermanet, Corey Lynch:
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. CoRR abs/2010.06491 (2020)
2010 – 2019
- 2019
- [j2]Brian Ichter, Marco Pavone:
Robot Motion Planning in Learned Latent Spaces. IEEE Robotics Autom. Lett. 4(3): 2407-2414 (2019) - [i9]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. CoRR abs/1909.12971 (2019) - [i8]Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust:
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. CoRR abs/1910.03701 (2019) - [i7]J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust:
Neural Collision Clearance Estimator for Fast Robot Motion Planning. CoRR abs/1910.05917 (2019) - 2018
- [j1]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic sampling-based motion planning: Optimality, complexity, and performance. Int. J. Robotics Res. 37(1): 46-61 (2018) - [c5]Brian Ichter, James Harrison, Marco Pavone:
Learning Sampling Distributions for Robot Motion Planning. ICRA 2018: 7087-7094 - [i6]Brian Ichter, Marco Pavone:
Robot Motion Planning in Learned Latent Spaces. CoRR abs/1807.10366 (2018) - 2017
- [c4]Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone:
Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. ICRA 2017: 5019-5026 - [c3]Brian Ichter, Edward Schmerling, Marco Pavone:
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. IRC 2017: 219-226 - [c2]Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone:
Perception-Aware Motion Planning via Multiobjective Search on GPUs. ISRR 2017: 895-912 - [i5]Brian Ichter, Edward Schmerling, Marco Pavone:
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. CoRR abs/1705.02403 (2017) - [i4]Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone:
Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. CoRR abs/1705.02408 (2017) - [i3]Brian Ichter, James Harrison, Marco Pavone:
Learning Sampling Distributions for Robot Motion Planning. CoRR abs/1709.05448 (2017) - 2016
- [i2]Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone:
Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs. CoRR abs/1607.06886 (2016) - 2015
- [c1]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. ISRR (2) 2015: 507-525 - [i1]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. CoRR abs/1505.00023 (2015)
Coauthor Index
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last updated on 2023-05-13 04:06 CEST by the dblp team
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