Karl Pertsch
収録論文 40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
- Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control2026/2/1
- RoboReward: General-Purpose Vision-Language Reward Models for Robotics2026/1/1
- Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging2025/12/1
- PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies2025/12/1
- Emergence of Human to Robot Transfer in Vision-Language-Action Models2025/12/1
- $π^{*}_{0.6}$: a VLA That Learns From Experience2025/11/18
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience2025/11/1
- RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies2025/6/1
- Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better2025/5/1
- Training Strategies for Efficient Embodied Reasoning2025/5/1
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/1
- AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World2025/3/1
- Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models2025/2/1
- FAST: Efficient Action Tokenization for Vision-Language-Action Models2025/1/1
- π0: A Vision-Language-Action Flow Model for General Robot Control2024/10/1
- Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning2024/8/1
- Affordance-Guided Reinforcement Learning via Visual Prompting2024/7/1
- Robotic Control via Embodied Chain-of-Thought Reasoning2024/7/1
- OpenVLA: An Open-Source Vision-Language-Action Model2024/6/1
- Octo: An Open-Source Generalist Robot Policy2024/5/1
- Evaluating Real-World Robot Manipulation Policies in Simulation2024/5/1
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset2024/3/1
- Yell At Your Robot: Improving On-the-Fly from Language Corrections2024/3/1
- LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers2023/12/1
- Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance2023/10/1
- RoboCLIP: One Demonstration is Enough to Learn Robot Policies2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions2023/9/1
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/1
- SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling2023/6/1
- Cross-Domain Transfer via Semantic Skill Imitation2022/12/1
- RT-1: Robotics Transformer for Real-World Control at Scale2022/12/1
- PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection2022/12/1
- Task-Induced Representation Learning2022/4/1
- Demonstration-Guided Reinforcement Learning with Learned Skills2021/7/1
- Accelerating Reinforcement Learning with Learned Skill Priors2020/10/1
- Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments2020/10/1
- Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors2020/6/1