Brian Ichter

发表

Robot Motion Planning in Learned Latent Spaces

Marco Pavone, Brian Ichter, M. Pavone, 2018, IEEE Robotics and Automation Letters.

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

Sergey Levine, Brian Ichter, Alexander Toshev, 2021, ArXiv.

AA 290 : Precomputed Lattices and Paths for Robotic Motion Planning Using Fast Marching Trees

Brian Ichter, Brian Ichter, 2014 .

V ALUE F UNCTION S PACES : S KILL -C ENTRIC S TATE A BSTRACTIONS FOR L ONG -H ORIZON R EASONING

Alexander Toshev, Ted Xiao, Brian Ichter, 2021 .

Inner Monologue: Embodied Reasoning through Planning with Language Models

Peter R. Florence, S. Levine, Pierre Sermanet, 2022, CoRL.

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

S. Levine, B. Osinski, Brian Ichter, 2022, CoRL.

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

S. Levine, Pierre Sermanet, Vincent Vanhoucke, 2022, CoRL.

Code as Policies: Language Model Programs for Embodied Control

Peter R. Florence, Karol Hausman, Andy Zeng, 2022, 2209.07753.

Open-vocabulary Queryable Scene Representations for Real World Planning

M. Ryoo, Kanishka Rao, Daniel Kappler, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Intuitive Physics Modelling for Real-World Object Interactions

S. Levine, Pierre Sermanet, Yevgen Chebotar, 2022 .

RT-1: Robotics Transformer for Real-World Control at Scale

S. Levine, Vincent Vanhoucke, M. Ryoo, 2022, Robotics: Science and Systems.

Neural Collision Clearance Estimator for Batched Motion Planning

Aleksandra Faust, J. Chase Kew, Tsang-Wei Edward Lee, 2020, Workshop on the Algorithmic Foundations of Robotics.

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous

Aleksandra Faust, Dennis Lee, Rose E. Wang, 2020, CoRL.

Downwind pre‐aligned rotors for extreme‐scale wind turbines

Adam Steele, Eric Loth, Brian Ichter, 2017 .

PaLM-E: An Embodied Multimodal Language Model

Mehdi S. M. Sajjadi, Peter R. Florence, S. Levine, 2023, ICML.

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning

Edward Schmerling, Aleksandra Faust, Tsang-Wei Edward Lee, 2019 .

Learning Sampling Distributions for Robot Motion Planning

Marco Pavone, Brian Ichter, James Harrison, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

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

Marco Pavone, Edward Schmerling, Brian Ichter, 2017, ArXiv.

Perception-Aware Motion Planning via Multiobjective Search on GPUs

Marco Pavone, Edward Schmerling, Brian Ichter, 2017, ISRR.

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

Marco Pavone, Edward Schmerling, Ali-akbar Agha-mohammadi, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Code as Policies: Language Model Programs for Embodied Control

Peter R. Florence, Karol Hausman, Andy Zeng, 2022, ArXiv.

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

S. Savarese, Chelsea Finn, Suraj Nair, 2021, CoRL.

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

Pierre Sermanet, Corey Lynch, Brian Ichter, 2020, CoRL.

Multi-Task Learning with Sequence-Conditioned Transporter Networks pdf

Stefan Schaal, Aleksandra Faust, Andy Zeng, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Scaling Robot Learning with Semantically Imagined Experience

Karol Hausman, Ted Xiao, Jonathan Tompson, 2023, Robotics: Science and Systems.

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control

Peter R. Florence, S. Levine, Karol Hausman, 2023, ArXiv.

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

Sehoon Ha, Jie Tan, Aleksandra Faust, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models

Ken Goldberg, Brian Ichter, Huang Huang, 2023, ArXiv.

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

S. Levine, Alexander Toshev, Ted Xiao, 2021, ICLR.

Code as Policies: Language Model Programs for Embodied Control

Peter R. Florence, Karol Hausman, Andy Zeng, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects

Ken Goldberg, A. Angelova, Brian Ichter, 2022, ISRR.

Mechanical Search on Shelves using a Novel “Bluction” Tool

Ken Goldberg, Jeffrey Ichnowski, Anelia Angelova, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Language to Rewards for Robotic Skill Synthesis

Montse Gonzalez Arenas, N. Heess, T. Erez, 2023, 2306.08647.

Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments

Nancy M. Amato, Aleksandra Faust, Brian Ichter, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Scaling Robot Learning with Semantic Data Augmentation through Diffusion Models

Karol Hausman, Ted Xiao, Jonathan Tompson, 2022 .

S OCRATIC M ODELS : C OMPOSING Z ERO -S HOT M ULTIMODAL R EASONING WITH L ANGUAGE

Adrian S. Wong, Vincent Vanhoucke, M. Ryoo, 2023 .

Language to Rewards for Robotic Skill Synthesis

Montse Gonzalez Arenas, N. Heess, T. Erez, 2023, CoRL.

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

Marco Pavone, Lucas Janson, Brian Ichter, 2015, ISRR.

Large Language Models as General Pattern Machines

Peter R. Florence, Montse Gonzalez Arenas, Andy Zeng, 2023, ArXiv.

Learning Object-conditioned Exploration using Distributed Soft Actor Critic pdf

Kevin Chen, Brian Ichter, Austin Stone, 2020, CoRL.

Neural Collision Clearance Estimator for Fast Robot Motion Planning

Aleksandra Faust, Brian Ichter, T. Lee, 2019, ArXiv.

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

Marco Pavone, Edward Schmerling, Brian Ichter, 2017, 2017 First IEEE International Conference on Robotic Computing (IRC).

RT-1: Robotics Transformer for Real-World Control at Scale

Pannag R. Sanketi, S. Levine, Vincent Vanhoucke, 2022, Robotics: Science and Systems.

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning

Aleksandra Faust, Brian Ichter, E. Schmerling, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections

Eric Jang, Alexander Toshev, Karol Hausman, 2022, ArXiv.

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Pannag R. Sanketi, Peter R. Florence, Montse Gonzalez Arenas, 2023, CoRL.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Large Language Models as General Pattern Machines

Peter R. Florence, Montse Gonzalez Arenas, Andy Zeng, 2023, CoRL.

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

Karol Hausman, Roya Firoozi, Brian Ichter, 2023, ArXiv.

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

Karol Hausman, Brian Ichter, Dhruv Shah, 2023, NeurIPS.

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

Karol Hausman, Brian Ichter, Dorsa Sadigh, 2023, ArXiv.

Conditionally Combining Robot Skills using Large Language Models

Ryan C. Julian, G. Sukhatme, Brian Ichter, 2023, ArXiv.

Physically Grounded Vision-Language Models for Robotic Manipulation

Ted Xiao, Brian Ichter, Dorsa Sadigh, 2023, ArXiv.

Video Language Planning

Peter R. Florence, L. Kaelbling, Jonathan Tompson, 2023, ArXiv.

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Boyuan Chen, Brian Ichter, Dorsa Sadigh, 2024, ArXiv.

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

Pannag R. Sanketi, Montse Gonzalez Arenas, Karol Hausman, 2024, arXiv.org.

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

Montse Gonzalez Arenas, Vincent Vanhoucke, N. Heess, 2024, arXiv.org.

Demonstrating Large Language Models on Robots

Ted Xiao, Brian Ichter, Vikas Sindhwani, 2023, Robotics: Science and Systems.

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

N. Heess, Karol Hausman, Ted Xiao, 2024, ArXiv.

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics

Pannag R. Sanketi, Karol Hausman, Yuan Cao, 2023, ArXiv.

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning

B. Osinski, Brian Ichter, Dhruv Shah, 2023, CoRL.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Diego Perez Liebana, William H. Guss, Alec Radford, 2022 .