Ryan Julian

収録論文 19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

• World Action Models are Zero-shot Policies
  2026/2/17
• World Action Models are Zero-shot Policies
  2026/2/1
• Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
  2025/10/1
• Gemini Robotics: Bringing AI into the Physical World
  2025/3/1
• AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
  2024/1/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Conditionally Combining Robot Skills using Large Language Models
  2023/10/1
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
  2023/7/28
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
  2023/7/1
• Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
  2023/5/1
• RT-1: Robotics Transformer for Real-World Control at Scale
  2022/12/1
• Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
  2022/4/1
• A Simple Approach to Continual Learning by Transferring Skill Parameters
  2021/10/1
• Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning
  2021/6/1
• Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
  2021/4/1
• Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
  2020/4/1
• Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
  2019/10/1
• Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
  2018/10/1
• Scaling simulation-to-real transfer by learning composable robot skills
  2018/9/1