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.
Accessible medical imaging
In 2020, more than 2.7 million people were diagnosed with cancer in the European Union (EU), whereas 1.3 million people died from cancer. By 2035, the number of cancer cases is expected to increase by 24%, making cancer the leading cause of death in the EU. Currently,...
