Cloud Robotics Architecture: Trends and Challenges

Zhang, Huaxi; Zhang, Lei

doi:10.1109/sose.2019.00061

Cited by 13 publications

(7 citation statements)

References 11 publications

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“…Currently, cloud robot architectures include the ad hoc cloud (machine-to-machine communication, M2M) and cloud (machine-to-cloud communication, M2C) architectures [2], and the Ubiquitous Network Robot Platform (UNR-PF, a platform for cloud networked robotic services) [4] architecture. e former architecture discusses the allocation and communication of computing resources between the robot and the cloud.…”

Section: Robot Service Platform Architecture For the Field Of Helping The Elderlymentioning

confidence: 99%

“…e vocabulary of the ROS pock-etsphinx package data used to support the findings of this study are included within the article. (2) e test 1_nature_data contains coordinates of robot localization and task position, which are extracted from our own SLAM map.…”

Section: Data Availabilitymentioning

confidence: 99%

“…Due to the limed storage and computing resources carried by the robot itself, it is necessary to invest more time, energy, and financial resources to further improve the learning ability, computing power, and response speed of the service robot to provide better services for the elderly and disability. e cloud robot technology, which combines cloud computing technology and robotics, provides an effective way to solve the problem that robots have difficulty in further improving their learning and computing ability due to limited onboard resources, and has become a research hotspot in the field of intelligent robots [2]. Among them, in early 2011, the European scientist launched the RoboEarth program, using the Internet to establish an open-source network database for robot learning, which is a possibility for robots around the world to share data and enhance learning ability [3].…”

Section: Introductionmentioning

confidence: 99%

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A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People

Yin

Wang

Liu

2020

Journal of Robotics

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In order to solve the problem of demand for large capacity storage and high-performance computing resource of intelligent robot navigation and demand-service matching in the field of assisting handicapped or elderly people, overcoming the limitations of carrying resources, the method of constructing robot service platform for assisting handicapped or elderly people (RSP-AHEP) was proposed based on cloud robotics technology. Firstly, the demand of assisting handicapped or elderly people and the corresponding robot service category was analyzed to assure relationship-matching subjects. Secondly, based on VMware and Hadoop cluster technology, the architecture of a three-layer robot service platform was designed, which were universal interface layer, resource service layer, and application layer. Complex computing tasks, such as the matching computing between robot service and demand of the handicapped or elderly people, and the robot path-planning service, were placed in the robot service platform with the advantages of storage and computing resources. Thirdly, the remote communication between the robot and the service platform was realized based on the ROS (Robot Operation System) technology; finally, the function experiments, which included the remote dispatch, path planning, and service response between the service platform and robot, were carried out in the simulation environment. The result verified the feasibility of the proposed method.

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Section: Robot Service Platform Architecture For the Field Of Helping The Elderlymentioning

confidence: 99%

Section: Data Availabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People

Yin

Wang

Liu

2020

Journal of Robotics

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“…Current efforts are focused on extending cloud robotics to dynamic environments by trying to favor multi-access edge computing (MEC) for real-time applications [ 7 ]. Furthermore, recent architectures have transferred concepts from the field of computing to robotics [ 8 ]. Thus, [ 9 ] offered an architecture based on devices very close to vehicles (dew robotics), while [ 10 ] proposed to have computing capacity close to communications (fog robotics).…”

Section: Introductionmentioning

confidence: 99%

The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study

Bravo-Arrabal

Toscano-Moreno

Lozano

et al. 2021

Sensors

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Cloud robotics and advanced communications can foster a step-change in cooperative robots and hybrid wireless sensor networks (H-WSN) for demanding environments (e.g., disaster response, mining, demolition, and nuclear sites) by enabling the timely sharing of data and computational resources between robot and human teams. However, the operational complexity of such multi-agent systems requires defining effective architectures, coping with implementation details, and testing in realistic deployments. This article proposes X-IoCA, an Internet of robotic things (IoRT) and communication architecture consisting of a hybrid and heterogeneous network of wireless transceivers (H2WTN), based on LoRa and BLE technologies, and a robot operating system (ROS) network. The IoRT is connected to a feedback information system (FIS) distributed among multi-access edge computing (MEC) centers. Furthermore, we present SAR-IoCA, an implementation of the architecture for search and rescue (SAR) integrated into a 5G network. The FIS for this application consists of an SAR-FIS (including a path planner for UGVs considering risks detected by a LoRa H-WSN) and an ROS-FIS (for real-time monitoring and processing of information published throughout the ROS network). Moreover, we discuss lessons learned from using SAR-IoCA in a realistic exercise where three UGVs, a UAV, and responders collaborated to rescue victims from a tunnel accessible through rough terrain.

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“…In particular, CRS are characterized by three levels of implementation (Zhang & Zhang, 2019): (i) the infrastructure as a service (Du et al , 2011) to run, for example, the operating systems on the cloud; (ii) the platform as a service to share, for example, data (Tenorth et al , 2013), system architectures (Miratabzadeh et al , 2016), etc. ; and (iii) the software as a service (Arumugam et al , 2010) to allow, for example, the process and the communication of the data.…”

Section: Introductionmentioning

confidence: 99%

Ontologies for cloud robotics

Freitas¹,

Bermejo–Alonso

Khamis

et al. 2020

The Knowledge Engineering Review

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Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.

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Cloud Robotics Architecture: Trends and Challenges

Cited by 13 publications

References 11 publications

A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People

A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People

The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study

Ontologies for cloud robotics

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