4 accepted papers
Designing robotic manipulators often requires balancing dexterity, speed, and payload capacity. While traditional serial-link and cable-driven manipulators offer high dexterity, they struggle to concurrently achieve high speed, and often lack the strength and stiffness required for many applications…
Surgical robot task automation has recently attracted great attention due to its potential to benefit both surgeons and patients. Reinforcement learning (RL) based approaches have demonstrated promising ability to perform automated surgical manipulations on various tasks. To address the exploration
The loaded walking ability of people can be enhanced by lower limb exoskeleton. How to avoid lower limb joint injuries while improving walking efficiency is a major challenge for loaded walking assistance. Inspired by the muscle-skeleton working mechanism of human, we proposed a lower limb exoskelet
Compressed sensing (CS) leverages the sparsity prior to provide the foundation for fast magnetic resonance imaging (fastMRI). However, iterative solvers for ill-posed problems hinder their adaption to time-critical applications. Moreover, such a prior can be neither rich to capture complicated anato…