Media Summary: Collaboration tasks between humans and robots require simple programming and adaptive capabilities. The joint use of Robots need to be safe and easy to use in unstructured and human-populated environments. This study presents a method ... Paper Title: Demonstrate Once, Imitate Immediately (DOME): Learning

Imitation Learning Based Visual Servoing - Detailed Analysis & Overview

Collaboration tasks between humans and robots require simple programming and adaptive capabilities. The joint use of Robots need to be safe and easy to use in unstructured and human-populated environments. This study presents a method ... Paper Title: Demonstrate Once, Imitate Immediately (DOME): Learning Today robots must be adaptive and easy to use. Users want them to realize stable and complex tasks without explicitly ... Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, and Joschka Boedecker The Art of This is the video of our paper submitted to HUMANOIDS 2024. The paper and its extra material are available at: ...

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Imitation Learning-based Visual Servoing for Tracking Moving Objects
Imitation Learning-based Direct Visual Servoing using the Large Projection Formulation
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation
Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation
Learning based Fabric Manipulation with Mesh Perception and Visual Servoing
Stanford CS25: V2 I Robotics and Imitation Learning
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
Core Concepts: Imitation Learning
Robotic Imitation learning - Project SoftGrip
Imitation Learning Based on Bilateral Control for Human-robot Cooperation
Learning Stable Dynamical Systems for Visual Servoing
Flow Matching Imitation Learning for Multi-Support Manipulation
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Imitation Learning-based Visual Servoing for Tracking Moving Objects

Imitation Learning-based Visual Servoing for Tracking Moving Objects

Collaboration tasks between humans and robots require simple programming and adaptive capabilities. The joint use of

Imitation Learning-based Direct Visual Servoing using the Large Projection Formulation

Imitation Learning-based Direct Visual Servoing using the Large Projection Formulation

Robots need to be safe and easy to use in unstructured and human-populated environments. This study presents a method ...

Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation

Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation

Paper Title: Demonstrate Once, Imitate Immediately (DOME): Learning

Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation

Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation

Today robots must be adaptive and easy to use. Users want them to realize stable and complex tasks without explicitly ...

Learning based Fabric Manipulation with Mesh Perception and Visual Servoing

Learning based Fabric Manipulation with Mesh Perception and Visual Servoing

This presentation introduces a

Stanford CS25: V2 I Robotics and Imitation Learning

Stanford CS25: V2 I Robotics and Imitation Learning

February 7, 2023 Robotics and

The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations

The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations

Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, and Joschka Boedecker The Art of

Core Concepts: Imitation Learning

Core Concepts: Imitation Learning

We explore the concept of

Robotic Imitation learning - Project SoftGrip

Robotic Imitation learning - Project SoftGrip

A set of methodologies and machine

Imitation Learning Based on Bilateral Control for Human-robot Cooperation

Imitation Learning Based on Bilateral Control for Human-robot Cooperation

TITLE:

Learning Stable Dynamical Systems for Visual Servoing

Learning Stable Dynamical Systems for Visual Servoing

Integrating Dynamical Systems (DS)-

Flow Matching Imitation Learning for Multi-Support Manipulation

Flow Matching Imitation Learning for Multi-Support Manipulation

This is the video of our paper submitted to HUMANOIDS 2024. The paper and its extra material are available at: ...

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai ...