Learning Robot Manipulation Tasks With

Media Summary: Authors: Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, and Edward Johns Institution: The Prof. Berenson's research focuses on creating algorithms that allow Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann Residual Feedback

Learning Robot Manipulation Tasks With - Detailed Analysis & Overview

Authors: Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, and Edward Johns Institution: The Prof. Berenson's research focuses on creating algorithms that allow Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann Residual Feedback 2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration This project aims to create a data collection pipeline for imitation

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Learning Robot Manipulation Tasks with AMDPs and Demonstration-Guided Exploration

Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots

RI Seminar: Oliver Kroemer : Learning Robot Manipulation Skills...

Learning a Thousand Tasks in a Day

RSS 2021, Spotlight Talk 01: An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse

Structuring Manipulation Tasks for More Efficient Learning (Oliver Kroemer, CMU)

One-Shot Learning for Rapid Generation of Structured Robotic Manipulation Tasks from 3D Video Demos

Prof. Dmitry Berenson - Autonomous Robotic Manipulation

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty

Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

Dexterity: Machine Learning for Robot Manipulation and Dexterity

2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration

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Learning Robot Manipulation Tasks with AMDPs and Demonstration-Guided Exploration

Learning Robot Manipulation Tasks with AMDPs and Demonstration-Guided Exploration

Fully autonomous

Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots

Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots

Combining reinforcement

RI Seminar: Oliver Kroemer : Learning Robot Manipulation Skills...

RI Seminar: Oliver Kroemer : Learning Robot Manipulation Skills...

Learning Robot Manipulation

Learning a Thousand Tasks in a Day

Learning a Thousand Tasks in a Day

Authors: Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, and Edward Johns Institution: The

RSS 2021, Spotlight Talk 01: An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse

RSS 2021, Spotlight Talk 01: An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse

An Empowerment-based Solution to

Structuring Manipulation Tasks for More Efficient Learning (Oliver Kroemer, CMU)

Structuring Manipulation Tasks for More Efficient Learning (Oliver Kroemer, CMU)

Winter 2021

One-Shot Learning for Rapid Generation of Structured Robotic Manipulation Tasks from 3D Video Demos

One-Shot Learning for Rapid Generation of Structured Robotic Manipulation Tasks from 3D Video Demos

One-Shot

Prof. Dmitry Berenson - Autonomous Robotic Manipulation

Prof. Dmitry Berenson - Autonomous Robotic Manipulation

Prof. Berenson's research focuses on creating algorithms that allow

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty

Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann Residual Feedback

Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

Robotic

Dexterity: Machine Learning for Robot Manipulation and Dexterity

Dexterity: Machine Learning for Robot Manipulation and Dexterity

Grand

2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration

2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration

2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration

Joint and finger tracking for robot imitation learning in dexterous manipulation tasks

Joint and finger tracking for robot imitation learning in dexterous manipulation tasks

This project aims to create a data collection pipeline for imitation