Humanoid control

1 October 2017 – 31 March 2024

The SAHR project aims at gaining insights into the principles of human motor coordination mechanism, so as to guide the development of advanced robot learning and control algorithms.

1 February 2012 – 31 July 2016

In order to make robots achieve robust, adaptive, effective and natural performance of everyday manipulation tasks, it is not feasible to expect that programmers can equip the robots with plan libraries that cover such open-ended task spectrum competently. ROBOHOW.Cog targets at enabling autonomous robotsto perform expanding sets of human-scale tasks – both in human working and living environments. To this end, RoboHow.Cog will investigate a new approach to robot programming and control where knowledge for accomplishing tasks is semi-automatically acquired from instructions in the World Wide Web, from humaninstruction and from demonstration.

1 May 2009 – 30 April 2012

The ROBOSKIN project has the goal to develop and demonstrate a range of new robot capabilities based on the tactile feedback provided by a robotic skin from large areas of the robot body. The new capabilities will improve the ability of robots to operate effectively and safely in unconstrained environments and also their ability to communicate and co-operate with each other and with humans. One side of the ROBOSKIN project focuses on the investigation of methods and technologies enabling the implementation of skin sensors that can be used with existing robots. The other side of the project develops new structures for representing and integrating tactile data with existing cognitive architectures in order to support skin-based cognition, behaviour and communication.