Brian Ichter
収録論文 57本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities2026/4/1
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models2026/3/1
- $π^{*}_{0.6}$: a VLA That Learns From Experience2025/11/18
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience2025/11/1
- Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better2025/5/29
- Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better2025/5/1
- $π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/22
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/1
- Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models2025/2/1
- FAST: Efficient Action Tokenization for Vision-Language-Action Models2025/1/16
- FAST: Efficient Action Tokenization for Vision-Language-Action Models2025/1/1
- π0: A Vision-Language-Action Flow Model for General Robot Control2024/10/1
- LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments2024/7/1
- CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments2024/3/1
- Learning to Learn Faster from Human Feedback with Language Model Predictive Control2024/2/1
- PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs2024/2/1
- AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents2024/1/1
- SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities2024/1/1
- Chain of Code: Reasoning with a Language Model-Augmented Code Emulator2023/12/1
- Foundation Models in Robotics: Applications, Challenges, and the Future2023/12/1
- RoboVQA: Multimodal Long-Horizon Reasoning for Robotics2023/11/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Conditionally Combining Robot Skills using Large Language Models2023/10/1
- Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning2023/10/1
- Video Language Planning2023/10/1
- Physically Grounded Vision-Language Models for Robotic Manipulation2023/9/1
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/28
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/1
- Large Language Models as General Pattern Machines2023/7/1
- Language to Rewards for Robotic Skill Synthesis2023/6/1
- Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents2023/3/1
- PaLM-E: An Embodied Multimodal Language Model2023/3/1
- Scaling Robot Learning with Semantically Imagined Experience2023/2/1
- Semantic Mechanical Search with Large Vision and Language Models2023/2/1
- RT-1: Robotics Transformer for Real-World Control at Scale2022/12/1
- Open-vocabulary Queryable Scene Representations for Real World Planning2022/9/1
- Code as Policies: Language Model Programs for Embodied Control2022/9/1
- Inner Monologue: Embodied Reasoning through Planning with Language Models2022/7/1
- LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action2022/7/1
- Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects2022/7/1
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022/4/1
- Mechanical Search on Shelves using a Novel "Bluction" Tool2022/1/1
- Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning2021/11/1
- Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation2021/9/1
- Multi-Task Learning with Sequence-Conditioned Transporter Networks2021/9/1
- Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning2020/10/1
- Learning Object-conditioned Exploration using Distributed Soft Actor Critic2020/7/1
- Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous2020/3/1
- Neural Collision Clearance Estimator for Batched Motion Planning2019/10/1
- Learned Critical Probabilistic Roadmaps for Robotic Motion Planning2019/10/1
- Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation2019/9/1
- Robot Motion Planning in Learned Latent Spaces2018/7/1
- Learning Sampling Distributions for Robot Motion Planning2017/9/1
- Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs2017/5/1
- Perception-Aware Motion Planning via Multiobjective Search on GPUs2017/5/1
- Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs2016/7/1
- Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance2015/5/1