Abstract: Excessive energy consumption has become a worldwide issue in today's design and manufacturing industry. An energy estimation framework that could later be used to integrate with CAD/CAM systems is in demand. This research ...

Abstract: Abstract. Recent advancements in robotic (powered) lower-limb prostheses have significantly improved joint function for amputees, enabling them to perform a range of energetically demanding daily activities that exceed the ...

Abstract: Reinforcement learning (RL) has potential to provide innovative solutions to existing challenges in estimating joint moments in motion analysis, such as kinematic or electromyography (EMG) noise and unknown model parameters. ...