Learning manipulation skills from open surgery provides more flexible access to the organ
targets in the abdomen cavity and this could make the surgical robot working in a highly …

Object-level data association and pose estimation play a fundamental role in semantic
SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this …

Due to the fact that point clouds are always corrupted by significant noise and large
transformations, aligning two point clouds by deep neural networks is still challenging. This …

Point set registration (PSR) is an essential problem in the field of surgical navigation and
augmented reality (AR). In surgical navigation, the aim of registration is mapping the pre …

Autonomous elevator button operation is an indispensable function for robot-elevator
interaction, which has long been considered an intelligent solution for multifloor navigation …

Registration of two-point sets (PSs) is an essential problem in research areas of robotics,
computer vision, measurements, and computer-assisted interventions (CAIs). Registration …

Background Although the surface registration technique has the advantage of being
relatively safe and the operation time is short, it generally has the disadvantage of low …

This paper presents a novel, robust, and accurate three-dimensional (3D) rigid point set
registration (PSR) method, which is achieved by generalizing the state-of-the-art (SOTA) …

Non-rigid point set registration is an essential technique in fields such as robotics, computer
vision, image-guided surgery, and augmented reality. However, effectively addressing non …

Patient-to-medical image registration is a crucial factor that affects the accuracy of image-
guided ENT-and neurosurgery systems. In this study, a novel registration protocol that …