As cloud robotics is facing issues such as bandwidth limitations, Network latency issues, quality of service, privacy and security - Fog robotics can be seen as a viable option for the future robotic systems. Getting a Grip on Reality: Deep Learning and Robot Grasping Matthew Panzarino, TechCrunch, 2018 It is also considered as distributed robot systems of the next generation because robots require much brain power for processing billions of while performing its task. Robots and the return to collaborative intelligence. Ken Goldberg, Nature Machine Intelligence, 2019 For instance, fog robotics can play an essential role in helping a robot to grasp spray bottle. Robots can't hold stuff very well, but you can help Matt Simon, Wired, 2018
A social robot can either connect to the cloud or fog robot server depending upon the availability of information. For instance, it can make a robot working at an airport to communicate with other robots for effective communication with the help of fog robotics. Fog robotics: A new approach to achieve efficient and fluent human-robot interaction. Ingrid Fadelli, Tech Xplore, UK 2018
FogROS is a framework that allows existing Robot Operating System (ROS) automation applications to gain access to additional computing resources from commercial cloud-based services. With minimal porting effort, FogROS allows researchers to deploy components of their software to the cloud with high transparency.
Algorithm-level system: ElasticROS
ElasticROS enhances robot systems by advancing from node to algorithm-level adaptability. It's the robot operating system integrating algorithm-level collaboration for fog and cloud robotics, deploying Elastic Collaborative Computing for real-time adjustments.
To improve the security and performance of robotic/machine-learning applications operating in edge computing environments, this project investigates the use of data capsules. As one of the applications, it also examines the fog robot system to preserve the privacy and security of the data.
This project particularly targets the field of radio access network at the edge. As part of this project, a real-time application of fog-assisted robotics is explored. Also, remote monitoring of robots and fleet formation for coordinated movement is being investigated.
This project focusses on designing novel programming models for Fog applications both hardware and operating system (OS) mechanisms including communication protocols of fog nodes. These fog nodes will be further tested real time on robots and other automation devices. Furthermore, an open-source architecture will be built on open standards, e.g., 5G, OPC Unified Architecture (UA), and Time-Sensitive Networking (TSN).
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