首页|New Robotics Study Findings Recently Were Reported by Researchers at Swiss Feder al Institute of Technology (Polymorphic Control Framework for Automated and Indi vidualized Robotassisted Rehabilitation)
New Robotics Study Findings Recently Were Reported by Researchers at Swiss Feder al Institute of Technology (Polymorphic Control Framework for Automated and Indi vidualized Robotassisted Rehabilitation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting out of Zurich, Switzerland, by NewsRx editor s, research stated, "Robots were introduced in the field of upper limb neuroreha bilitation to relieve the therapist from physical labor, and to provide high-int ensity therapy to the patient. A variety of control methods were developed that incorporate patients' physiological and biomechanical states to adapt the provid ed assistance automatically." Financial support for this research came from Innosuisse - Schweizerische Agentu r fr Innovationsfrderung. Our news journalists obtained a quote from the research from the Swiss Federal I nstitute of Technology, "Higher level states, such as selected type of assistanc e, chosen task characteristics, defined session goals, and given patient impairm ents, are often neglected or modeled into tight requirements, low-dimensional st udy designs, and narrow inclusion criteria so that presented solutions cannot be transferred to other tasks, robotic devices or target groups. In this work, we present the design of a modular high-level control framework based on invariant states covering all decision layers in therapy. We verified the functionality of our framework on the assistance and task layer by outlaying the invariant state s based on the characteristics of 20 examined state-of-the-art controllers. Then , we integrated four controllers on each layer and designed two algorithms that automatically selected suitable controllers. The framework was deployed on an ar m rehabilitation robot and tested on one participant acting as a patient. We obs erved plausible system reactions to external changes by a second operator repres enting a therapist."
ZurichSwitzerlandEuropeEmerging Te chnologiesHealth and MedicineMachine LearningRehabilitationRobotRoboti csRobotsSwiss Federal Institute of Technology
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