R. Lioutikov

Latest

• MaIL: Improving Imitation Learning with Selective State Space Models
• Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
• Variational Distillation of Diffusion Policies into Mixture of Experts
• MaIL: Improving Imitation Learning with Mamba
• Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
• Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
• Latent Space Exploration and Trajectory Space Update in Temporally-Correlated Episodic Reinforcement Learning
• A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning
• Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
• Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
• Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
• Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills
• A User Study on Augmented Reality-Based Robot Learning Data Collection Interfaces
• Multimodal Diffusion Transformer for Learning from Play
• Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
• Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
• Goal-Conditioned Imitation Learning Using Score-based Diffusion Policies
• MP3: Movement Primitive-Based (Re-)Planning Policy
• Goal-Conditioned Imitation Learning Using Score-based Diffusion Policies
• Curriculum-Based Imitation of Versatile Skills
• Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
• ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
• Distributional Depth-Based Estimation of Object Articulation Models
• Distributional Depth-Based Estimation of Object Articulation Models
• Empowering Interactive Robots by Learning Through Multimodal Feedback Channel
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
• Distributional Depth-Based Estimation of Object Articulation Models
• Distributional Depth-Based Estimation of Object Articulation Models
• ScrewNet: Category-Independent Articulation Model Estimation from Depth Images Using Screw Theory
• ScrewNet: Category-Independent Articulation Model Estimation from Depth Images Using Screw Theory
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems
• Learning Attribute Grammars for Movement Primitive Sequencing
• Learning Attribute Grammars for Movement Primitive Sequencing
• Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives
• Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives
• Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation
• Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation
• Context-Driven Movement Primitive Adaptation
• Context-Driven Movement Primitive Adaptation
• Guiding Trajectory Optimization by Demonstrated Distributions
• Guiding Trajectory Optimization by Demonstrated Distributions
• Learning Movement Primitive Libraries through Probabilistic Segmentation
• Learning Movement Primitive Libraries through Probabilistic Segmentation
• Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration
• Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration
• Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks
• Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks
• Probabilistic Prioritization of Movement Primitives
• Probabilistic Prioritization of Movement Primitives
• Anticipative Interaction Primitives for Human-Robot Collaboration
• Anticipative Interaction Primitives for Human-Robot Collaboration
• Demonstration Based Trajectory Optimization for Generalizable Robot Motions
• Demonstration Based Trajectory Optimization for Generalizable Robot Motions
• Proactive Human-Robot Collaboration with Interaction Primitives
• Proactive Human-Robot Collaboration with Interaction Primitives
• Low-Cost Sensor Glove with Force Feedback for Learning from Demonstrations Using Probabilistic Trajectory Representations
• A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation
• A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation
• Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives
• Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives
• Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations
• Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations
• Model-Based Relative Entropy Stochastic Search
• Model-Based Relative Entropy Stochastic Search
• Probabilistic Segmentation Applied to an Assembly Task
• Probabilistic Segmentation Applied to an Assembly Task
• Semi-Autonomous 3rd-Hand Robot
• Semi-Autonomous 3rd-Hand Robot
• Generalizing Movements with Information Theoretic Stochastic Optimal Control
• Generalizing Movements with Information Theoretic Stochastic Optimal Control
• Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives
• Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives
• Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot
• Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot
• Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives
• Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives
• Sample-Based Information-Theoretic Stochastic Optimal Control
• Sample-Based Information-Theoretic Stochastic Optimal Control
• Towards a Third Hand
• Towards a Third Hand
• Learning time-dependent Feedback Policies with Model-Based Policy Search
• Learning time-dependent Feedback Policies with Model-Based Policy Search
• A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning
• A User Study on Augmented Reality-Based Robot Learning Data Collection Interfaces
• Curriculum-Based Imitation of Versatile Skills
• Curriculum-Based Imitation of Versatile Skills
• Curriculum-Based Imitation of Versatile Skills
• Distributional Depth-Based Estimation of Object Articulation Models
• Distributional Depth-Based Estimation of Object Articulation Models
• Empowering Interactive Robots by Learning Through Multimodal Feedback Channel
• Goal-Conditioned Imitation Learning Using Score-based Diffusion Policies
• Goal-Conditioned Imitation Learning Using Score-based Diffusion Policies
• Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills
• Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
• Latent Space Exploration and Trajectory Space Update in Temporally-Correlated Episodic Reinforcement Learning
• Low-Cost Sensor Glove with Force Feedback for Learning from Demonstrations Using Probabilistic Trajectory Representations
• MaIL: Improving Imitation Learning with Mamba
• MaIL: Improving Imitation Learning with Selective State Space Models
• Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
• Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
• MP3: Movement Primitive-Based (Re-)Planning Policy
• Multimodal Diffusion Transformer for Learning from Play
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
• Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
• Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
• Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
• Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems
• ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
• ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
• ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
• Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
• ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
• ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
• ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
• Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
• Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
• Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
• Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
• Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
• Variational Distillation of Diffusion Policies into Mixture of Experts