In the evolving landscape of assistive technology, soft wearable exosuits have emerged as a pivotal innovation, distinguishing themselves from their rigid counterparts, the exoskeletons. Yet, mastering soft structures is not an easy task. Seamlessly coordinating robotic assistance with human motion requires compensating not only for the non-linear behaviors of the device but also correctly interpreting the physiological signals that are part of the main control loop. My presentation will focus on my group’s latest progress over the past five years. I will describe the approaches we have developed to obtain compact, robust, reliable, and efficient exosuits. Emphasis will be placed on illustrating a completely novel approach named “context aware control,” which merges classic control strategies and machine learning, including artificial vision, to optimize the modulation of assistance.
Dose assessment: from conceptual model to environmental radioactivity monitoring
Radionuclides are discharged into the environment from a variety of nuclear and radiation facilities, potentially causing harmful effects on human health and the environment. If discharges are likely to result in adverse radiological effects, they must be evaluated in...
