5 accepted papers
This paper proposes a quality-driven adaptive control framework for robotic vascular anatomies scanning to facilitate the acquisition of high-quality ultrasound (US) images. Specifically, a novel probability-based US image quality evaluation metric for vascular anatomies is introduced, leveraging an
Exoscopes have emerged as a promising visual solution within the field of microneurosurgery. However, manual repositioning poses a challenge causing interruptions that disrupt the surgical flow. Thus, the need for hands-free exoscope control arises. This paper introduces a position-based visual-serv
This paper presents an Augmented Reality (AR)assisted robot learning framework for Minimally Invasive Surgery (MIS) tasks. The proposed framework exploits an external optical tracking system to collect human demonstration. Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) are utiliz…
In this paper, a position-based visual-servoing control approach is introduced for a robotic camera holder to improve ergonomics and reduce mental stress during brain surgery. The visual tracking system controls and moves the robotic camera holder by following a selected surgical instrument without…
Under-actuated bionic hands have achieved tremendous popularity in many fields because of their advantages of lightweight, budget-friendly, satisfactory flexibility, and adaptability. Except for the bionic mechanical design, various anthropomorphic control strategies have been proposed and investiga…