&amp;#x2018;Robot-Cloud&amp;#x2019;: A framework to assist heterogeneous low cost robots

Doriya, Rajesh; Chakraborty, Pavan; Nandi, Gora Chand

doi:10.1109/iccict.2012.6398208

Cited by 23 publications

(8 citation statements)

References 4 publications

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“…Another disadvantage is the low number of network connections between the individual robots and the physical cloud infrastructure. The DaVinCi project [8] and the Robot-Cloud project [4], which promotes the creation of low-costs robots using cloud robotics, are examples of peer-based cloud robotic models that have the individual robots and the VM in the cloud computing as a single unit.…”

Section: Peer-based Cloud Robotic Modelsmentioning

confidence: 99%

“… Security and Trust is another ongoing challenge in cloud robotics. The cloud server environment has to be a trustworthy environment which does not allow for robotic tasks to be disrupted [4].…”

Section: Survey On Laxities Of Cloud Robotics Modelsmentioning

confidence: 99%

“…Cloud robotics is the scientific field of research that applies cloud computing technology to a robot. The paradigm of cloud robotics paves the way forward for multi-robots to expand their services in the future and also offers the possibility of multi-robots to share services and information with one another by creating a central knowledge base in the cloud [4]. While the benefits of cloud robotics are clearly evident and have resulted in an increase in interest among the scientific community, one of the biggest challenges of cloud robotics is the inherent communication challenges brought about by disconnections between the MRS and the cloud.…”

Section: Introductionmentioning

confidence: 99%

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Cloud Robotics

Ramharuk

Osunmakinde

2014

Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SA

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The emergence of cloud computing has transformed the potential of robotics by enabling multi-robotic teams to fulfil complex tasks in the cloud. This paradigm is known as "cloud robotics" and relieves robots from hardware and software limitations as large amounts of available resources and parallel computing capabilities are available in the cloud. A major challenge however, currently faced in cloud robotics is the inherent problem of cloud disconnection which would result in a robot not being able to fulfil certain tasks. This work serves to assist with the challenge of disconnection in cloud robotics by proposing a survivable cloud multi-robotics (SCMR) framework for heterogeneous environments. The SCMR framework leverages the combination of a virtual ad hoc network formed by the robot-to-robot communication and a physical cloud infrastructure formed by the robot-to-cloud communications. The Quality of Service (QoS) on the SCMR framework is tested and validated by determining the optimal energy utilization and Time of Response (ToR) on drivability analysis with and without cloud connection. The experimental results demonstrate that the proposed framework is feasible for current multi-robotic applications and shows the survivability aspect of the framework in instances of cloud disconnection.

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Section: Peer-based Cloud Robotic Modelsmentioning

confidence: 99%

Section: Survey On Laxities Of Cloud Robotics Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cloud Robotics

Ramharuk

Osunmakinde

2014

Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SA

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“…Most modern robotic systems employ a distributed system architecture that is composed of sophisticated control software synchronizing tasks on multiple controllers that are connected through an underlying network. Some examples are multirobot systems in heterogeneous environments [2], cloud-based frameworks [3], and industrial robots for largescale automation systems [4].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Characteristics of ROS 2.0 in Multiagent Robot Systems: An Empirical Study

2020

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Due to its ease of use and flexibility, the robot operating system (ROS) is increasingly becoming the most popular middleware for robot applications, even in multiagent systems. Since ROS 1.0 does not satisfy real-time requirements, ROS 2.0 was developed, and it improved the communication stack with the real-time data distribution service (DDS) protocol. However, the actual performance level to be expected is still unknown and can largely depend on the operating system and the kernel being used, the DDS distribution, and the overall software load of the system. In this paper, we present an empirical study that evaluates the real-time performance of ROS 2.0 in both the system and communication software layers. In the system layer, the deterministic behavior of the ROS 2.0 nodes is thoroughly observed with regard to whether the tasks are schedulable and can function within the specified temporal deadline. In the communication layer, special attention is devoted to the rate of data loss and the overall latency of messages between nodes. Experiments are performed in various working conditions; for example, the system load is increased to define the real-time performance of the tasks. For reference, the results are compared with the those from the traditional ROS variation. Moreover, we implement a multiagent service robot system to verify the suitability of ROS 2.0 for real-world applications. Our results show that the application of ROS 2.0 is more suitable than that of ROS 1.0 in terms of real-time performance.

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“…The hazard detection application [6] is an example of a solution that takes advantage of distributed robot software. In addition, work has been performed to develop cloud services suited for robots [7], [8]. Connection of robots to clouds brings about many other benefits, e.g.…”

Section: Introductionmentioning

confidence: 99%

Cyber-security for Mobile Service Robots – Challenges for Cyber-physical System Safety

Dudek

Szynkiewicz

2019

JTIT

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A review of the known and an indication of the new threats for cyber-physical robotic systems, caused by cybernetic attacks, serves, in this paper, as a basis for the analysis of the known methods relied upon to detect and mitigate consequences of such attacks. A particular emphasis is placed on threats speciﬁc for cyber-physical systems, as they are a feature distinguishing these systems from their traditional Information and Communication Technologies (ICT) counterparts. Based on the review of literature and own analyses, unresolved issues regarding the cyber-security of robot systems are presented and discussed.

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‘Robot-Cloud’: A framework to assist heterogeneous low cost robots

Cited by 23 publications

References 4 publications

Cloud Robotics

Cloud Robotics

Real-Time Characteristics of ROS 2.0 in Multiagent Robot Systems: An Empirical Study

Cyber-security for Mobile Service Robots – Challenges for Cyber-physical System Safety

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