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Soft, Self-responsive, Smart MAterials for RoboTs. (EU626)

The SMART Innovative Training Network is a joint venture between academia and industry, providing scientific and personal development of young researchers in the multidisciplinary fields of soft robotics and smart materials. SMART will realize the technologically and scientifically ambitious breakthroughs to exploit smart, stimuli-responsive material systems with actuation, sensing and self-healing capabilities for intelligent soft devices. This allows the soft robots to interact with dynamic and unknown environments in a smart fashion to avert catastrophic failure and reestablish structural integrity and operational functionality. Control intelligence enables interaction with the outer world and structural health monitoring allows the establishment of autonomous healing procedures, where upon sensing of damage or loss of functionality the system will cease operation and start a repair action, followed by the evaluation of the effective recovery of functionality and finally return to operation, thus expanding the service lifetime. These technologies will be integrated in fully functional and autonomous demonstrators to disseminate, benchmark and exploit the results. There is a need for future leaders with excellence in smart material systems and technologically advanced applications such as robotics and automation. The SMART ITN offers such multidisciplinary training by combining these two emerging fields with meaningful societal and economic impact (T-model). For this purpose, SMART brings together 8 beneficiaries and 11 partner organizations including 2 research institutes and 12 private companies, belonging to 7 EU member states, and to 2 associated states (Switzerland, Turkey). The consortium’s complementarity and multidisciplinarity will enable a top-level educational programme, with special focus on spanning TRL levels from innovative fundamentally new concepts to system prototypes and teaching them in an RRI spirit
Date:1 Mar 2020  →  Today
Keywords:Stimuli-responsive and self-healing materials, additive manufacturing, soft robotics, actuators, sensors, control
Disciplines:Robotic systems architectures and programming