Media Summary: Multimodal Robot Learning by Demonstration In this research, we propose a user-guided motion planning algorithm in combination with reinforcement A Human and two Robot arms (Openmanipulator-X) team up to work together in an adaptive Master-Slave

Multirobot Learning By Demonstration Platform - Detailed Analysis & Overview

Multimodal Robot Learning by Demonstration In this research, we propose a user-guided motion planning algorithm in combination with reinforcement A Human and two Robot arms (Openmanipulator-X) team up to work together in an adaptive Master-Slave The HeRoSwarm project from the Heterogeneous Robotics (HeRo) Research Lab at the University of Georgia is an open-source ... MIT - Nov. 14, 2025 Speaker: Stephanie Gil Seminar title: Resilient In the scope of the AI4DI research project at TUM, we are developing simulation environments in which AI agents can be ...

Autonomy Talks - 06/12/2021 Speaker: Prof. Amanda Prorok, University of Cambridge Title:

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Multirobot Learning by Demonstration - Platform Overview
Multimodal Robot Learning by Demonstration
Robot Learning from Demonstration
Towers of Hanoi: Learning by Demonstration
Collective Robot Reinforcement Learning, Human Demonstration
Adaptive Task Learning by Demonstration using two Robot Arms and one Human
Robot Platform for Machine Learning Demonstration
[HeRoLab] HeRoSwarm - Multi-Robot Formation Control Demo
Stephanie Gil: Resilient Multi-Robot Systems: Coordination and Learning in the Real-World
Simulation platform for robot training with reinforcement learning
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Learning from Demonstration
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Multirobot Learning by Demonstration - Platform Overview

Multirobot Learning by Demonstration - Platform Overview

This

Multimodal Robot Learning by Demonstration

Multimodal Robot Learning by Demonstration

Multimodal Robot Learning by Demonstration

Robot Learning from Demonstration

Robot Learning from Demonstration

In this research, we propose a user-guided motion planning algorithm in combination with reinforcement

Towers of Hanoi: Learning by Demonstration

Towers of Hanoi: Learning by Demonstration

For more information: http://www.willowgarage.com/blog/2009/10/28/robots-students.

Collective Robot Reinforcement Learning, Human Demonstration

Collective Robot Reinforcement Learning, Human Demonstration

Full

Adaptive Task Learning by Demonstration using two Robot Arms and one Human

Adaptive Task Learning by Demonstration using two Robot Arms and one Human

A Human and two Robot arms (Openmanipulator-X) team up to work together in an adaptive Master-Slave

Robot Platform for Machine Learning Demonstration

Robot Platform for Machine Learning Demonstration

This is a short

[HeRoLab] HeRoSwarm - Multi-Robot Formation Control Demo

[HeRoLab] HeRoSwarm - Multi-Robot Formation Control Demo

The HeRoSwarm project from the Heterogeneous Robotics (HeRo) Research Lab at the University of Georgia is an open-source ...

Stephanie Gil: Resilient Multi-Robot Systems: Coordination and Learning in the Real-World

Stephanie Gil: Resilient Multi-Robot Systems: Coordination and Learning in the Real-World

MIT - Nov. 14, 2025 Speaker: Stephanie Gil Seminar title: Resilient

Simulation platform for robot training with reinforcement learning

Simulation platform for robot training with reinforcement learning

In the scope of the AI4DI research project at TUM, we are developing simulation environments in which AI agents can be ...

Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks

Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks

IROS 2021

Learning from Demonstration

Learning from Demonstration

Reference: M. Schneider, W. Ertel. Robot

Autonomy Talks - Amanda Prorok: Learning Communication for Coordination in Multi-Robot Systems

Autonomy Talks - Amanda Prorok: Learning Communication for Coordination in Multi-Robot Systems

Autonomy Talks - 06/12/2021 Speaker: Prof. Amanda Prorok, University of Cambridge Title: