KUKA Innovation Award 2022 - finalists
The KUKA "Robotics in Healthcare Challenge" is about the interaction of robotic systems with humans in medical applications.
"This year, the KUKA Innovation Award is all about medicine and healthcare. Because new technologies are playing an increasingly important role in healthcare and will be virtually indispensable in the future. Researchers, developers and young entrepreneurs from all over the world submitted their concepts for the "Robotics in Healthcare Challenge". An international jury of experts evaluated the concepts and selected our five finalists.
The teams have already received an initial training on the hardware and software and can now put their ideas into reality using an LBR Med provided free of charge and a vision system from the Munich-based company Roboception. KUKA will of course support the finalists with coaching from KUKA experts throughout the competition. The final of the Innovation Award will then take place at the MEDICA medical trade fair in November 2022. There, the teams will present their applications to a large audience of experts from industry and research, as well as media representatives and investors. The winning team will also win prize money of €20,000."
The finalists are
- Team Ligō: The Ligō device is a novel 3D bioprinting platform that supports the functional healing of skin tissue after acute skin injuries such as extensive burns.
- Team AROKI from HTIC, IIT Madras in India aims to significantly improve the quality of maternal and prenatal care through the use of robotic solutions.
- Team Brurobotics: The team from Vrije Universiteit Brussel and imec is addressing these challenges by using the KUKA LBR Med in combination with a soft sensorized physical interface.
- ROPCA's vision is to develop a variety of robotic application platforms that help clinicians increase the productivity and quality of their daily work. The first product is ARTHUR - an ARTHritis Ultrasound Robot.
- Team cortEXplore: develops neuronavigation technologies for planning, simulation and execution of brain surgery.
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