Danny Driess

収録論文 38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 Capabilities
  2026/4/1
• MEM: Multi-Scale Embodied Memory for Vision Language Action Models
  2026/3/1
• Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control
  2026/2/1
• $π^{*}_{0.6}$: a VLA That Learns From Experience
  2025/11/18
• $\pi^{*}_{0.6}$: a VLA That Learns From Experience
  2025/11/1
• Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
  2025/5/1
• Training Strategies for Efficient Embodied Reasoning
  2025/5/1
• $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
  2025/4/1
• Gemini Robotics: Bringing AI into the Physical World
  2025/3/1
• Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
  2025/2/1
• FAST: Efficient Action Tokenization for Vision-Language-Action Models
  2025/1/1
• RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation
  2024/11/1
• Vision Language Models are In-Context Value Learners
  2024/11/1
• π0: A Vision-Language-Action Flow Model for General Robot Control
  2024/10/1
• ALOHA Unleashed: A Simple Recipe for Robot Dexterity
  2024/10/1
• Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
  2024/3/1
• PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
  2024/2/1
• SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
  2024/1/1
• Foundation Models in Robotics: Applications, Challenges, and the Future
  2023/12/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
  2023/7/1
• Large Language Models as General Pattern Machines
  2023/7/1
• Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
  2023/3/1
• PaLM-E: An Embodied Multimodal Language Model
  2023/3/1
• Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
  2022/10/1
• Reinforcement Learning with Neural Radiance Fields
  2022/6/1
• FC$^3$: Feasibility-Based Control Chain Coordination
  2022/5/1
• Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation
  2022/3/1
• Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
  2022/2/1
• Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input
  2021/12/1
• Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
  2021/11/1
• Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
  2021/10/1
• Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly
  2021/6/1
• Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
  2021/3/1
• Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
  2020/6/1
• Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty
  2020/3/1
• Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning
  2020/3/1
• Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
  2020/2/1