Date(s) - 20/05/2021
14 h 00 - 16 h 00
Le prochain séminaire Cédric aura lieu jeudi 20 mai. Deux exposés: Amin Ebrahimzadeh, Concordia University, Montréal, Canada et Yujiro Okuya, Cnam.
Titre: Tactile Internet: Use-cases, Traffic Models, and Enabling Technologies
Invité: Amin Ebrahimzadeh, Horizon Postdoctoral Fellow, Concordia University, Montréal, Canada
Abstract: Tactile Internet is known as the next generation of the Internet that is expected to give way to a plethora of new applications including teleoperation and remote robotic surgery, among others. Unlike the previous generations of the Internet, the Tactile Internet aims to enable haptic communications by allowing real-time human-to-machine interactions over the networks. The Tactile Internet allows humans to interact with remotely located machines/robots in real-time via not only visual and auditory sensations, but also sensation of touch. Tactile Internet was not only envisioned as one of the delay-sensitive 5G applications, it is also expected as one of the killer applications in future 6G networks. This talk will start by elaborating on the Tactile Internet vision by briefly reviewing its anticipated impact on society and important design guidelines. I will then review the salient features and requirements of the Tactile Internet followed by the comparison between the Tactile Internet and Internet of Things (IoT). Further, I will provide an up-to-date survey of recent progress and enabling technologies proposed for the Tactile Internet. Next, I will explain Tactile Internet traffic models derived from haptic traces by studying teleoperation as an example of an immersive Tactile Internet experience. Next, fiber wireless (FiWi) access networks will be revisited in the context of conventional clouds and emerging cloudlets, as a promising Tactile Internet networking infrastructure. Toward this end, after introducing the concept of low-latency FiWi enhanced LTE-A HetNets using advanced multi-access edge computing (MEC) with embedded artificial intelligence (AI) capabilities, I will explain how we may use machine learning to decouple haptic feedback from the impact of extensive propagation delays, thereby enabling humans to perceive remote task environments in real-time at a 1-ms granularity. Finally, I will conclude the talk by identifying several open challenges and outlining future research directions.
Title: CAD Modification Techniques for Design Reviews on Heterogeneous Interactive Systems
Speaker : Yujiro Okuya, Cnam
Abstract: Industrial design reviews benefit from emerging interactive technologies to become more Realistic, Immersive, and Collaborative. However, the modification of design data is still managed in the traditional workspace—Computer-Aided Design (CAD) systems on a workstation. As only engineers can apply modifications in such a workspace after the design review meeting, miscommunication between various experts could occur, resulting in unnecessary iterations. We argue that current processes of design reviews—design discussion and design adjustment—should merge. It could reduce the iterations, facilitate discussions and empower non-CAD experts to modify CAD data. In this talk, I will begin with presenting a new design review scenario in which project members can generate and compare several design alternatives during the design reviews in heterogeneous systems. Then, I will introduce a back-end VR-CAD system that enables users to update the native format of CAD data from various interactive systems. Based on that, two types of interaction techniques were designed for non-CAD experts to modify parametric CAD data. I will first explain the technique, ShapeGuide, which allows users to generate and switch design alternatives of CAD data with a shape-based 3D interaction implemented in a CAVE system with a force feedback device. Secondly, I will explain ShapeCompare, which allows users to generate and distribute multiple design alternatives of CAD data using touch interaction on a wall-sized display. With user studies, I investigated how ShapeGuide affects a CAD data modification task compared to a standard one-dimensional scroll for parameter manipulation and how ShapeCompare affects the collaboration among different experts compared to visualization techniques suitable for standard screens. Finally, I will summarize the contributions and address the remaining challenges for the proposed new industrial design review process.
Short-bio: Yujiro Okuya is a postdoctoral research fellow at the ILJ team of the CEDRIC laboratory in CNAM. Previously he worked as a postdoctoral research fellow at the CPU team in Limsi-CNRS. He completed his Ph.D. in computer science in the VENISE group (Limsi-CNRS) and the Ex)situ group (LRI/Inria) at Université Paris-Saclay. His research interests include HCI, 3D interaction, remote collaboration in interactive systems, industrial design, and avatar embodiment.