Discovering new treatments and personalizing existing ones is one of the major goals of
modern clinical research. In the last decade, Artificial Intelligence (AI) has enabled the …

One of the hottest topics in rehabilitation robotics is that of proper control of prosthetic
devices. Despite decades of research, the state of the art is dramatically behind the …

Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …

Assistive robotic arms are increasingly enabling users with upper extremity disabilities to
perform activities of daily living on their own. However, the increased capability and dexterity …

Background: Myoelectric prostheses currently used by amputees can be difficult to control.
Machine learning, and in particular learned predictions about user intent, could help to …

Understanding how an artificial agent may represent, acquire, update, and use large
amounts of knowledge has long been an important research challenge in artificial …

Nowadays, machine learning (ML) algorithms are receiving massive attention in most of the
engineering application since it has capability in complex systems modeling using historical …

Predicting the future has long been regarded as a powerful means to improvement and
success. The ability to make accurate and timely predictions enhances our ability to control …

Conventional underwater intervention operations using robotic vehicles require expert
teleoperators and limit interaction with remote scientists. In this article, we present the …

Developing a robust machine-learning algorithm to detect hand motion is one of the most
challenging aspects of prosthetic hands and exoskeleton design. Machine-learning methods …