Rudolf Lioutikov

収録論文 36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

• DAM-VLA: Decoupled Asynchronous Multimodal Vision Language Action model
  2026/6/10
• SIR: Structured Image Representations for Explainable Robot Learning
  2026/6/1
• SPARC: Reliable Spatial Annotations from Robot Demonstrations at Scale
  2026/6/1
• DAM-VLA: Decoupled Asynchronous Multimodal Vision Language Action model
  2026/6/1
• DuoBench: A Reproducible Benchmark for Bimanual Manipulation in Simulation and the Real World
  2026/6/1
• PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
  2025/10/1
• NaviTrace: Evaluating Embodied Navigation of Vision-Language Models
  2025/10/1
• FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
  2025/9/1
• MoRe-ERL: Learning Motion Residuals using Episodic Reinforcement Learning
  2025/8/1
• BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
  2025/6/1
• Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
  2025/4/1
• Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection
  2025/3/1
• IRIS: An Immersive Robot Interaction System
  2025/2/1
• Towards Fusing Point Cloud and Visual Representations for Imitation Learning
  2025/2/1
• X-IL: Exploring the Design Space of Imitation Learning Policies
  2025/2/1
• Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
  2024/12/1
• A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
  2024/11/1
• BMP: Bridging the Gap between B-Spline and Movement Primitives
  2024/11/1
• TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
  2024/10/1
• Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
  2024/10/1
• Use the Force, Bot! -- Force-Aware ProDMP with Event-Based Replanning
  2024/9/1
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
  2024/7/1
• MaIL: Improving Imitation Learning with Mamba
  2024/6/1
• Variational Distillation of Diffusion Policies into Mixture of Experts
  2024/6/1
• Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
  2024/2/1
• Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
  2024/1/1
• Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
  2023/12/1
• MP3: Movement Primitive-Based (Re-)Planning Policy
  2023/6/1
• Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
  2023/4/1
• Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
  2022/11/1
• ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
  2022/10/1
• Distributional Depth-Based Estimation of Object Articulation Models
  2021/8/1
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
  2021/3/1
• ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
  2020/8/1
• Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems
  2018/6/1
• Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations
  2015/10/1