Limitations of wireless power transfer technologies for mobile robots

Cheah, Wei; Watson, Simon; Lennox, Barry

doi:10.1017/wpt.2019.8

Cited by 26 publications

(19 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since, medical facilities vary from large scale centrally located city hospitals to purpose-built field hospitals, various renewable energy sources are also utilized for reliable power solutions [25]. Wireless power transfer is also under development for mobile robots in hospitals to minimize the need for frequent charging [26].…”

Section: Power Requirementsmentioning

confidence: 99%

Robotics Utilization for Healthcare Digitization in Global COVID-19 Management

Khan

Siddique

Lee

2020

IJERPH

224

126

View full text Add to dashboard Cite

This paper describes the evolving role of robotics in healthcare and allied areas with special concerns relating to the management and control of the spread of the novel coronavirus disease 2019 (COVID-19). The prime utilization of such robots is to minimize person-to-person contact and to ensure cleaning, sterilization and support in hospitals and similar facilities such as quarantine. This will result in minimizing the life threat to medical staff and doctors taking an active role in the management of theCOVID-19 pandemic. The intention of the present research is to highlight the importance of medical robotics in general and then to connect its utilization with the perspective of COVID-19 management so that the hospital management can direct themselves to maximize the use of medical robots for various medical procedures. This is despite the popularity of telemedicine, which is also effective in similar situations. In essence, the recent achievement of the Korean and Chinese health sectors in obtaining active control of the COVID-19 pandemic was not possible without the use of state of the art medical technology.

show abstract

Section: Power Requirementsmentioning

confidence: 99%

Robotics Utilization for Healthcare Digitization in Global COVID-19 Management

Khan

Siddique

Lee

2020

IJERPH

224

126

View full text Add to dashboard Cite

show abstract

“…Specifically, the figure summarizes 6G performance requirements [1]- [3], technological enablers of energy efficiency in 6G [3]- [5], EH techniques [11]- [13], characteristics and advantages of RF-WET [6], [14]. Regarding the latter, comparison (in terms of coverage, form factor, harvestable energy, and multiuser and mobility native support) between RF-WET and main competitors (electrostatic or capacitive coupling, inductive coupling, and magnetic coupling) is depicted [6], [14]. All in all, RF-WET constitutes the most prominent technology for massively and wirelessly powering low-energy IoT deployments.…”

Section: A Eh Technologiesmentioning

confidence: 99%

Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era

López

Alves

Souza

et al. 2021

IEEE Internet Things J.

155

108

View full text Add to dashboard Cite

Recent advances on wireless energy transfer (WET) make it a promising solution for powering future Internet-of-Things (IoT) devices enabled by the upcoming sixth-generation (6G) era. The main architectures, challenges and techniques for efficient and scalable wireless powering are overviewed in this article. Candidates enablers, such as energy beamforming (EB), distributed antenna systems (DASs), advances on devices' hardware and programmable medium, new spectrum opportunities, resource scheduling, and distributed ledger technology are outlined. Special emphasis is placed on discussing the suitability of channel state information (CSI)-limited/free strategies when powering simultaneously a massive number of devices. The benefits from combining DAS and EB, and from using average CSI whenever available, are numerically illustrated. The pros and cons of the state-of-the-art CSI-free WET techniques in ultralow power setups are thoroughly revised, and some possible future enhancements are outlined. Finally, key research directions toward realizing WET-enabled massive IoT networks in the 6G era are identified and discussed in detail. Index Terms-Channel state information (CSI), distributed antenna systems (DASs), distributed ledger technology (DLT), energy beamforming (EB), intelligent reflective surfaces, Internet of Things (IoT), massive wireless energy transfer (WET), millimeter wave, sixth generation (6G), ultralow power. I. INTRODUCTION T HE SIXTH generation (6G) of wireless systems targets a data-driven sustainable society, enabled by nearinstant, secure, unlimited and green connectivity [1]-[3]. Stringent performance requirements in terms of security and

show abstract

“…However, these operations are time-consuming. As a sustainable solution, wireless power transfer has emerged to address the energy limitations of robots and provide a backup of on-board battery [160]. In literature, there exist several techniques for wireless power transmission including radiative power transfer (microwave, laser) and non-radiative power transfer technologies are (inductive, magnetic resonance, capacitive and acoustic) [161], [162].…”

Section: A Resource Typementioning

confidence: 99%

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Afrin

Jin

Rahman

et al. 2021

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0, agriculture, healthcare, and disaster management. These applications are composed of latency-sensitive, data-heavy, and compute-intensive tasks. The robots, however, are constrained in the computational power and storage capacity. The concept of multi-agent cloud robotics enables robotto-robot cooperation and creates a complementary environment for the robots in executing large-scale applications with the capability to utilize the edge and cloud resources. However, in such a collaborative environment, the optimal resource allocation for robotic tasks is challenging to achieve. Heterogeneous energy consumption rates and application of execution costs associated with the robots and computing instances make it even more complex. In addition, the data transmission delay between local robots, edge nodes, and cloud data centres adversely affects the real-time interactions and impedes service performance guarantee. Taking all these issues into account, this paper comprehensively surveys the state-of-the-art on resource allocation and service provisioning in multi-agent cloud robotics. The paper presents the application domains of multi-agent cloud robotics through explicit comparison with the contemporary computing paradigms and identifies the specific research challenges. A complete taxonomy on resource allocation is presented for the first time, together with the discussion of resource pooling, computation offloading, and task scheduling for efficient service provisioning. Furthermore, we highlight the research gaps from the learned lessons, and present future directions deemed beneficial to further advance this emerging field.

show abstract

Limitations of wireless power transfer technologies for mobile robots

Cited by 26 publications

References 97 publications

Robotics Utilization for Healthcare Digitization in Global COVID-19 Management

Robotics Utilization for Healthcare Digitization in Global COVID-19 Management

Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Contact Info

Product

Resources

About