Abstract: Optimization algorithms used in a real-time and safety-critical context offer the potential for considerably advancing robotic and autonomous systems by improving their ability to execute complex missions. However, this promise cannot happen without proper attention to the considerably stronger operational constraints that real time, safety-critical applications must meet, unlike their non-real-time, desktop counterparts.

Abstract: Cerebral  Palsy  (CP)  is the  most  common  motor  disorder  of central  origin  in childhood  and affects at least 2 children per 1000 live births every year. This project will research new methods and tools in motor/cognitive assessment for small children (5‐8 years old) with Cerebral Palsy.

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