Omron 2016 - 2018

The purpose of this project is to develop a software for estimating 6D pose and grasping points of non-rigid objects in bin-picking scenarios. Read more →

Sasha 2019 - 2022

The purpose of this project is to investigate methods needed to make a robot keep order in an assigned space. Read more →

Aeolus 2017 - 2019

The goal of the project with Aeolus is to advance current robotic capabilities to pick up unknown objects in conditions of clutter and fetching known objects. Read more →

InDex 2019 - 2022

The InDex project aims to understand how humans perform in-hand object manipulation and to replicate the observed skilled movements with dexterous artificial hands, merging the concepts of deep reinforcement and transfer learning to generalise in-hand skills for multiple objects and tasks. Read more →

HEAP 2019 - 2022

In HEAP we focus on advancing the state-of-the-art for sorting a heap of unknown, irregular objects and provide appropriate benchmarks. Read more →

BURG 2019 - 2022

In the BURG Project we set out to boost grasping research by focusing on complete tasks and the related object manipulation constraints. Read more →

RoboCoop 2018 - 2022

The project is focused on young people and their interest on STEM disciplines (sciences, technology, engineering, mathematics). RoboCoop will organise workshops, where students have the opportunity to get to know robots. Read more →

iBridge 2017 - 2019

The iBridge project is a cross-generational project aimed at increasing the interest of children and pupils in the social and cross-cultural research topics and innovation as well as deepening their relationship to science through the application of robotics in the elderly care technologies. Read more →


MMAssist II 2017 - 2020

The goal of the project partners in MMAssist II is to research and implement modular, reusable assistance systems for employees in production companies. For that, the project partners will work on the exemplary uses cases Maintenance and Service, Arming of Machines and Simultaneous Handling of Multiple Machines, and Montage to analyze the technical and sozio-economic requirements for assistance systems in these areas. Read more →

RALLI 2016 - 2019

Future social robots will need the ability to acquire new tasks and behaviors on the job both through observation and through natural language instruction, for robot designers cannot build in all environmental and task contingencies in typical application domains such as health care settings or people’s homes. In this project, we tackle the critical subproblem of learning new actions and their corresponding words by the artificial system observing how those actions are performed and expressed by humans. Read more →