Media Summary: "Towards Multi-Modal Intention Interfaces for This video shows an application of the iTaSC-methodology to an overconstrained We present a novel approach to how a novice robot can learn the specifics of the

3d Co Manipulation Task Human - Detailed Analysis & Overview

"Towards Multi-Modal Intention Interfaces for This video shows an application of the iTaSC-methodology to an overconstrained We present a novel approach to how a novice robot can learn the specifics of the Video media attachment to the conference paper: "Robust Semantic Representations for Inferring Conference: RO-Man 2022 Paper link: This work proposes a novel framework ... We present a novel learning and control framework that combines artificial neural networks with online trajectory optimization to ...

The HRII lab of IIT proposed a novel method for the control of 2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration Hidden Markov Models (HMM) are used to recognize

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3D Co-Manipulation Task: Human Dyads
Co-manipulation 3D Task
Human-Robot Co-Manipulation
Human-Robot Co-manipulation: a robotic application using iTaSC methodology
Robots Learning from Robots: A Proof of Concept Study for Co-Manipulation Tasks
Robust Semantic Representations for Inferring Human Co-manipulation Activities
Cross-task 3D interaction with HOMER
A Contact-Adaptive Control Framework for Co-Manipulation Tasks with Application to Collab. Screwing
Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration - IROS 2020
Towards Ergonomic Control of Human-Robot Co-Manipulation and Handover
Co-manipulation of large parts by dual-arm mobile manipulator
2020-2021- Improving the generalisation of robot manipulation tasks learned from human demonstration
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3D Co-Manipulation Task: Human Dyads

3D Co-Manipulation Task: Human Dyads

A

Co-manipulation 3D Task

Co-manipulation 3D Task

Co

Human-Robot Co-Manipulation

Human-Robot Co-Manipulation

"Towards Multi-Modal Intention Interfaces for

Human-Robot Co-manipulation: a robotic application using iTaSC methodology

Human-Robot Co-manipulation: a robotic application using iTaSC methodology

This video shows an application of the iTaSC-methodology to an overconstrained

Robots Learning from Robots: A Proof of Concept Study for Co-Manipulation Tasks

Robots Learning from Robots: A Proof of Concept Study for Co-Manipulation Tasks

We present a novel approach to how a novice robot can learn the specifics of the

Robust Semantic Representations for Inferring Human Co-manipulation Activities

Robust Semantic Representations for Inferring Human Co-manipulation Activities

Video media attachment to the conference paper: "Robust Semantic Representations for Inferring

Cross-task 3D interaction with HOMER

Cross-task 3D interaction with HOMER

HOMER (Hand-centered Object

A Contact-Adaptive Control Framework for Co-Manipulation Tasks with Application to Collab. Screwing

A Contact-Adaptive Control Framework for Co-Manipulation Tasks with Application to Collab. Screwing

Conference: RO-Man 2022 | Paper link: https://zenodo.org/record/6811187#.Yt-JV3ZByUk This work proposes a novel framework ...

Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration - IROS 2020

Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration - IROS 2020

We present a novel learning and control framework that combines artificial neural networks with online trajectory optimization to ...

Towards Ergonomic Control of Human-Robot Co-Manipulation and Handover

Towards Ergonomic Control of Human-Robot Co-Manipulation and Handover

The HRII lab of IIT proposed a novel method for the control of

Co-manipulation of large parts by dual-arm mobile manipulator

Co-manipulation of large parts by dual-arm mobile manipulator

SHERLOCK –Seamless and safe

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

Intent recognition in human-robot collaborative manipulation tasks

Intent recognition in human-robot collaborative manipulation tasks

Hidden Markov Models (HMM) are used to recognize