Fault Detection and Diagnosis in Multi-Robot Systems: A Survey

Khalastchi, Eliahu; Kalech, Meir

doi:10.3390/s19184019

Cited by 45 publications

(27 citation statements)

References 48 publications

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“…Also, in a general manner, Swarm Robotics refers to cost-restrained machines. MRS is not closed on this scope, often managing autonomous robots in the industrial supply chain or with sophisticated structures [ 37 , 38 ]. Another relevant point on the differentiation between Swarm Robotics and MRS is the acting capabilities.…”

Section: Defining Swarm Roboticsmentioning

confidence: 99%

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Dias

Silva

Filho

et al. 2021

Sensors

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Known as an artificial intelligence subarea, Swarm Robotics is a developing study field investigating bio-inspired collaborative control approaches and integrates a huge collection of agents, reasonably plain robots, in a distributed and decentralized manner. It offers an inspiring essential platform for new researchers to be engaged and share new knowledge to examine their concepts in analytical and heuristic strategies. This paper introduces an overview of current activities in Swarm Robotics and examines the present literature in this area to establish to approach between a realistic swarm robotic system and real-world enforcements. First, we review several Swarm Intelligence concepts to define Swarm Robotics systems, reporting their essential qualities and features and contrast them to generic multi-robotic systems. Second, we report a review of the principal projects that allow realistic study of Swarm Robotics. We demonstrate knowledge regarding current hardware platforms and multi-robot simulators. Finally, the forthcoming promissory applications and the troubles to surpass with a view to achieving them have been described and analyzed.

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Section: Defining Swarm Roboticsmentioning

confidence: 99%

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Dias

Silva

Filho

et al. 2021

Sensors

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“…some component or middleware element has failed. Crucially there is no attempt to automatically recover failed components (Khalastchi and Kalech 2019). Rather than adapting to system failures, RAMPs provide computational fault-tolerance by automatically restarting failed computations to enable them to execute to completion.…”

Section: Fault Tolerance In Roboticsmentioning

confidence: 99%

“…Importantly, if not taken into consideration, a failure in a single robot can be detrimental for the overall success of an MRS. Research in the area shows that robots are prone to failures, such as crashes, freezing, unexpected robot shutdown, and network failures (Crestani et al 2015;Khalastchi and Kalech 2019).…”

Section: Introductionmentioning

confidence: 99%

Reliable distribution of computational load in robot teams

2021

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Modern multi-robot systems often need to solve computationally intensive tasks but operate with limited compute resources and in the presence of failures. Cooperating to share computational tasks between robots at the edge reduces execution time. We introduce and evaluate a new computation load management technology for teams of robots: Reliable Autonomous Mobile Programs (RAMPs). RAMPs use information about the computational resources available in the team and a cost model to decide where to execute. RAMPs are implemented in ROS on a collection of Raspberry Pi-based robots. The performance of RAMPs is evaluated using route planning, a typical computationally-intensive robotics application. A systematic study of RAMPs demonstrates a high likelihood of optimal or near-optimal distribution and hence efficient resource utilisation. RAMPs successfully complete in the presence of simultaneous, or successive, robot failures and network failures, while preserving near-optimal distribution.

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“…It is used for noise removal and feature extraction to detect the faulty parts in signals. Many researchers uses LabVIEW in their work [36], [2], but in [37], both LabView and Matlab are used together for wavelet programing. In [38] a method is presented for the purpose of detection and isolation for three sensors; those usually have common faults in wireless network sensors in a wind turbine monitoring systems, thus three type of faults appear because of a malfunctions or a hard or soft faults.…”

Section: Wavelet Transformmentioning

confidence: 99%

“…In recent years, robots have been developed and take a place in most of the fields [1], [2], it taken a place in the industries, militaries, medical surgeries, medical devices, surveillance systems, monitoring and others. The robot has become the main part of most industrial fields, according to that, the robot has to be more safe and accurate.…”

Section: Introductionmentioning

confidence: 99%

Faults Diagnosis in Robot Systems: A Review

Alobaidy¹,

Abdul–Jabbar²,

Al-Khayyt³

2020

(AREJ)

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Any robot system consists of mechanical and electrical components. These components are combined and compacted together with a special controller to do a specific work. Mostly and with time obsolescence, faults and errors are happen in robot systems lead to work problems. Many years ago, researchers are working in this field. In this paper, a review study focuses on this field is introduced to make classifications between different types of faults and diagnosis methods those used in the field of robotics. Many types of faults are studied, according to some previous and recent works. The most detected faults can be classified into two parts: hardware and software faults. The hardware faults part is further classified into two main types; the first one is represented in sensors and actuators, while the other is included taking into consideration both position and velocity in joints. These joints which usually connect the links of the arm with each other and ensure contentions to motors, controllers, and many sensors, are really represent the most important side have to be studied. The software faults part includes those errors occurred during programming such as any error happen in signal translation, signal classification or signal identification is considered as a software fault. In this paper most of the fault diagnosis and detection methods of faults types in the field of robotics are studied. According to these studied papers, the hardware fault part is the most important part which must be identified and corrected in real time using smart methods.

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Fault Detection and Diagnosis in Multi-Robot Systems: A Survey

Cited by 45 publications

References 48 publications

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Reliable distribution of computational load in robot teams

Faults Diagnosis in Robot Systems: A Review

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