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The Project
The Evryon project (Evolving Morphologies for Human-Robot Symbiotic Interaction) is a research project funded by the European Commission in the Seventh Framework Programme (Proposal/Contract number FP7-ICT-2007-3-231451).
The Evryon project aims at providing a novel design methodology for harvesting the potentialities of structural intelligence in the development of Wearable Robots, using a design for emergence approach where a symbiotic interaction between the robot and the human body is sought to achieve useful emerging dynamic behaviours.
Methodology
The application chosen for testing the proposed design method is an active lower limbs orthosis, for restoring a proper gait in aged subjects.
Relevant biomechanical properties of the human body are measured and given as input to a simulation environment able to reproduce the interaction between the human body and a robot.
This environment is functional for the design of the robot, which is obtained through an open-ended process where both morphology and control are co-evolved.
Novel hardware solutions (e.g. VIJs and data fusion techniques) necessary to achieve the desired emergent dynamic behaviours among the human body, the robot and the environment are studied and finally implemented in the fabricated prototype.
The prototype will be finally tested on a population of aged people, in order to validate the novel design methodology.

Project outputs
• A physics-based simulation environment (SE) where both a human body and a WR can be simulated;
• An evolutionary environment, integrating the SE and an evolutionary algorithm, for the automatic design of morphology and control of wearable robots;
• Novel joints with tunable dynamical properties (VIJs);
• A novel artificial skin for human-robot interaction monitoring;
• A prototype of an active lower limbs orthosis for restoring walking capabilities of aged subjects.
WP Implementations
The project work has been organised in 8 Work Packages (WPs). WP1 and WP8 include management activities. In particular, WP8 is devoted to exploitation and dissemination activities. The core RTD technologies and design methodologies will be developed in WP2, WP3, WP4, WP5 and WP6. Each WP hinges around the core competence of one Partner, who is the leader of that WP. Obviously each partner has more than one core competence. RTD WPs are strictly interwoven; despite of that, they can be divided in two classes: those oriented to the development of the novel design methodology (WPs 2,3,4) and those oriented to the development of the robot prototype (WPs 4,5,6,7).
| WP |
WP Leader |
Core competence / technology in the EVRYON project |
Main outputs / expected achievements of the WP |
| 2 |
TUD |
Biomechanics of the human body; human body motor patterns; multi-body dynamic simulations. |
• Biomechanical model of the intrinsic (i.e. When no motor command is taken into account) properties of the human body • Biomechanical model of the active (i.e. When motor commands tune joints impedance) human body • Software for simulating the human body dynamically interacting with the active WR |
| 3 |
UT |
Exoskeletons for the lower limbs; CPG control; human biomechanics. |
• Measurements of the intrinsic biomechanical properties of the human body • Measurements of the biomechanical properties of the active human body • Testing virtual (i.e. Not yet physically built) WRs by suitably programming and adapting the LOPES to be dynamically equivalent to the WR |
| 4 |
EPFL |
Morphology and control co-design; evolutionary techniques; genetic algorithms; neural networks. |
• Development of co-evolution algorithm. • Development of the physics-based Evolutive Environment • Design of WR by co-evolution of morphology and control |
| 5 |
UNICAMPUS |
Human-centered design techniques; development of robots for the safe human-robot interaction |
• Development of VIJ • Detailed design and fabrication of the WR • System integration (sensors and control) |
| 6 |
SSSA |
Robotics sensors and control; data fusion |
• Development the sensory system (novel sensors for the WR and dedicated sensory fusion techniques) • Development of adaptive high level control • Development of low level control |
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