We have a joint laboratory with Honda Research Institute Japan (HRI-JP) whose main aim is to develop advanced control, perception, and planning algorithms for human-robot collaboration scenarios.  

The joint lab keywords, which characterise the research we develop, are ergonomy, cobots, and human-robot collaboration.
Besides iCub, the conceived algorithms for human-robot collaboration will be tested on the ED-2R and Asimo humanoid robots.

Danieli Automation’s joint lab focuses on the development of flexible robotic systems and automated solutions in the field of steel processing. 

Our aim is to increase safety for workers in hazardous industrial environments by using advanced control, perception and planning algorithms.

The Camozzi Group is a market leader in the production of components for the pneumatics automation with applications in the life science, health and the textile industry. 

As a research line, we are applying our expertise in the modeling, control, and planning of nonlinear systems to the pneumatic field.

The goal of the project is to devise future wearable technologies and humanoid robots to maximise work ergonomy and technological acceptability of future industry and healthcare environments. 

INAIL is the Italian National Institute for Insurance against Accidents at Work, it is a public authority that manages compulsory insurance against accidents at work and occupational diseases.

The collaboration aims to adapt the iCub Robot’s Avatar architecture to develop a commercial, human-controlled wheeled Avatar Robot in a simulation environment. We will establish the Avatar simulation infrastructure to ensure seamless component operation. The project will integrate advanced manipulation, voice, and visual interfaces for better human-robot interaction, and implement tactile feedback and locomotion controls for precise and realistic movements.

The spin-off idea from AMI is aiming at providing an integrated platform that enables real-time human health monitoring in terms of motion tracking, articular stress monitoring, and fatigue analysis.  Based on our extensive and in-depth research analysis, we developed groundbreaking technology.

iFeel will be the next step for life-logging human health monitoring for industrial, rehabilitation, sports and gaming applications.

Marie Sklodowska-Curie Innovative Training Networks under Grant Agreement No. 642667

Role: supervision of a PhD student funded by the project

Marie Sklodowska-Curie Innovative Training Networks under Grant Agreement No. 642961

Role: supervision of a PhD student funded by the project

Research and Innovation Programme under Grant Agreement No. 731540

Role: coordination - Francesco Nori - and PI - Daniele Pucci.

FP7

FP7

FP7 - European Union Marie Curie Actions with Francesca Stramandinoli