5 accepted papers
Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for image restoration under corruptions. However, the performance of…
This letter presents a miniature manipulator with variable stiffness towards minimally invasive transluminal endoscopic surgery, such as the endoscopic submucosal dissection (ESD). The manipulator comprises hollow modules with holes in the sidewall, compact with a 4 mm diameter, and dexterous with s
This paper presents a modular and reconfigurable mini-robotic system with 5 degrees of freedom (DoFs) towards minimally invasive surgery (MIS). The mini-robotic system consists of two modules, a 2-DoFs rotational end-effector, and a 3-DoFs positioning platform. The 2-DoFs rotational end-effector is…
Nearest-neighbor (NN) procedures are well studied and widely used in both supervised and unsupervised learning problems. In this paper we are concerned with investigating the performance of NN-based methods for anomaly detection. We first show through extensive simulations that NN methods compare fa…
This letter presents a robotic hand with modular antagonistic fingers and adhesive soft modulations for general purposes with grasping and manipulation capabilities. The anthropomorphic design includes the hand-like configuration, modular antagonistic fingers, soft modulations, compliant joints, and