Ubiquitous robotics: Recent challenges and future trends

Chibani, Abdelghani; Amirat, Yacine; Mohammed, Samer; Matson, Eric T.; Hagita, Norihiro; Baretto, M.

doi:10.1016/j.robot.2013.04.003

Cited by 83 publications

(34 citation statements)

References 31 publications

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“…These networked robots may use external resources for computing, data gathering, sensing, learning, and working collaboratively through the "Cloud" [17,19], or even they may "live in the Cloud" (e.g., software agents/robots) and teleoperate other robots (e.g., mobile robots and autonomous vehicles).…”

Section: Networked Robotics Applicationsmentioning

confidence: 99%

“…Clearly, the communication link plays an important role in networked robots applications [16], such as ubiquitous robotics [17], cloud robotics [18,19], and remote sensing [20,21]. For such applications, use cases may be different (e.g., robot-to-robot communication (R2R), robot-tosensor/actuator/machine (R2S/R2A/R2M), and robot-to-cloud (R2C)) and, thus, impose different requirements for the communication (e.g., range, bit rate, latency, and energy consumption).…”

Section: Introductionmentioning

confidence: 99%

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Fundamentals of Wireless Communication Link Design for Networked Robotics

Barriquello¹,

Silva²,

Bernardon³

et al. 2018

Service Robots

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This chapter aims to present the fundamentals of the design of wireless communication links for networked robotics applications. First, we provide an overview of networked robotics applications, motivating the importance of the wireless communication link as an enabler of these applications. Next, we review the wireless communication technologies available today, discussing the existent tradeoffs between range, power, and data rate, and introducing the main concepts regarding the design of wireless communication links. Finally, we present a design example of a wireless communication link and the results obtained. We conclude the chapter with a discussion of the results and the challenges faced in the design of wireless communication links for networked robotics.

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Section: Networked Robotics Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fundamentals of Wireless Communication Link Design for Networked Robotics

Barriquello¹,

Silva²,

Bernardon³

et al. 2018

Service Robots

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“…It consists of statistical techniques such as Kalman filters, mapping and sensing. Riazuelo et al develop a cloud framework which name is Cloud framework for Cooperative Tracking and Mapping (C2TAM) [28]. This is a visual SLAM system based a distributed framework where the CPU-intensive map optimization and storage is allocated as a service in the Cloud, while a light camera runs on robots for tracking.…”

Section: Cloud-enabled Robotsmentioning

confidence: 99%

“…For example, complex computations of computation intensive applications can be offloaded in the cloud like what is done for Apple's voice recognition service "Siri". Connecting the robots to semantic knowledge databases hosted in the cloud will allow a large number of heterogeneous robots to share common sense knowledge [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Cloud Robotics Platforms

Koken¹

2015

: Interdiscip. Descr. Complex Syst.

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Cloud robotics is a rapidly evolving field that allows robots to offload computation-intensive and storage-intensive jobs into the cloud. Robots are limited in terms of computational capacity, memory and storage. Cloud provides unlimited computation power, memory, storage and especially collaboration opportunity. Cloud-enabled robots are divided into two categories as standalone and networked robots. This article surveys cloud robotic platforms, standalone and networked robotic works such as grasping, simultaneous localization and mapping (SLAM) and monitoring.

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“…Several research groups [5,8] described system architectures of cloud robotics system based on Machine-to-Machine and Machine-to-Cloud communications. Despite of that development of a single architecture for manufacturing applications still represents a serious challenge [7].…”

Section: History Of the Automotive Systemsmentioning

confidence: 99%

Hybrid Cloud Environment for Manufacturing Control System

Taratukhin

Yadgarova

Stelvaga

2016 ASEE Annual Conference &Amp; Exposition Proceedings

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Today the concepts of Smart factory, Internet of Things and Industrial Internet play a significant role in innovation process and new engineering design architectures. Using design thinking approach, university team of MSc and PhD students under the guidance of global IT company developed the cloud manufacturing control system based on the instructional flexible manufacturing line (FMS) equipment and production Internet-of-Things platform.As a result, FMS consisting of several machine tools, manipulators, conveyor and storage is monitored and controlled under engineering cloud. The cloud-based in-memory database software being integrated part of the solution was provided by global IT company through industry -academia research initiative.Physical devices have cloud representations connected with each other through the dependency model and communication channels. Presented framework allows to provide self-organization between cloud representations, scheduling of orders in the cloud and support of discrete event simulation process based on the real-time data from the devices (DEVS models simulation representation).This cloud-manufacturing environment is fully functional and will allow to use this example for research and education of postgraduate students and industry clients and for understanding the important trends in future manufacturing.

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Ubiquitous robotics: Recent challenges and future trends

Cited by 83 publications

References 31 publications

Fundamentals of Wireless Communication Link Design for Networked Robotics

Fundamentals of Wireless Communication Link Design for Networked Robotics

Cloud Robotics Platforms

Hybrid Cloud Environment for Manufacturing Control System

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