6 accepted papers
Neural networks have complex structures, and thus it is hard to understand their inner workings and ensure correctness. To understand and debug convolutional neural networks (CNNs) we propose techniques for testing the channels of CNNs. We design FtGAN, an extension to GAN, that can generate test da…
Task-oriented dialogue research has mainly focused on a few popular languages like English and Chinese, due to the high dataset creation cost for a new language. To reduce the cost, we apply manual editing to automatically translated data. We create a new multilingual benchmark, X-RiSAWOZ, by transl…
Accurate prediction of human movements is required to enhance the efficiency of physical human–robot interaction. Behavioral differences across various users are crucial factors that limit the prediction of human motion. Although recent neural network-based modeling methods have improved their predi
Wheeled mobile robots have been receiving continuous attention in various fields because of their stability, efficiency, and simple mechanisms. However, most of them require significantly larger occupied space than humans and have limited maneuverability in the environment for humans, such as crowde
This paper presents a three-degrees-of-freedom (DOF) gravity compensation mechanism for the waists of cooperative robots whose centers of mass change according to the arm poses. It comprises 2-DOF and 1-DOF gravity compensation mechanisms in series, and is capable of natural and agile motions such a…
In this paper, a dual-arm robot system for high-speed manipulations, which is named LIMS2-AMBIDEX and is developed to compete in the IROS2018 Robotic Challenge, is presented. It has two seven-degrees-of-freedom (DO FF) lightweight arms, a three-DOF head, and a one-DOF gripper to manipulate foldable…