Designing a Mobile Robot used for Access to Dangerous Areas

Patic, Paul Ciprian; Mainea, Marin; Pascale, Lucia; Măntescu, Gabriela

doi:10.1109/iccairo.2017.21

Cited by 5 publications

(4 citation statements)

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“…Recently, intelligent mobile devices such as mobile robots have been used more and more in daily life, in engineering, and in the military. Compared with traditional approaches, mobile robots can reach places in harsh environments [1][2][3]. Mobile robots which simulate biological behavior are used to locate chemical sources.…”

Section: Related Workmentioning

confidence: 99%

“…The environmental and pollutant parameters were as follows: the search space was 10 m × 10 m; the length and width of the unit grid were same as the length of a USV; the chemical release rate of the pollutant source was R = 1; the average life of the released particles was τ = 2500; the direction of the flow velocity was along the y axis; the flow velocity was V = 0.2 m/s; and the pollutant diffusion velocity is D = 0.1 m/s (isotropy). The chemical pollution source was located in grid (10,3).…”

Section: Case Studymentioning

confidence: 99%

“…The coordinates of the location are the number of grids. The initial location of the three mobile robots is (1,1), (1,2), (1,3). The simulated flow direction is along the negative direction of the X axis.…”

Section: Source Location Tracking Experimentsmentioning

confidence: 99%

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Improved ‘Infotaxis’ Algorithm-Based Cooperative Multi-USV Pollution Source Search Approach in Lake Water Environment

Huang

2020

Symmetry

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This paper studies the cooperation method of multi-cooperative Unmanned Surface Vehicles (USVs) for chemical pollution source monitoring in a dynamic water environment. Multiple USVs formed a mobile sensor network in a symmetrical or asymmetrical formation. Based on ‘Infotaxis’ algorithms for multi-USV, an improved shared probability is proposed for solving the problems of low success rate and low efficiency resulting from the cognitive differences of multi-USV in cooperative exploration. By introducing the confidence factor, the cognitive differences between USVs are coordinated. The success rate and the efficiency of exploration are improved. To further optimize the exploration strategy, the particle swarm optimization (PSO) algorithm is introduced into the ‘Infotaxis’ algorithm to plan the USVs’ exploration path. This method is called the ‘PSO-Infotaxis’ algorithm. The effectiveness of the proposed method is verified by simulation and laboratory experiments. A comparison of the test results shows that the ‘PSO-Infotaxis’ algorithm is superior with respect to exploring efficiency. It can reduce the uncertainty of the estimation for source location faster and has lower exploration time, which is most important for the exploration of a large range of water areas.

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Section: Related Workmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

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Improved ‘Infotaxis’ Algorithm-Based Cooperative Multi-USV Pollution Source Search Approach in Lake Water Environment

Huang

2020

Symmetry

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“…A broader, descriptive definition is the one belonging to the "US Office" for "Technology Assessment", according to which an SFF is a manufacturing unit capable of making a class of discontinuous products, under the conditions of minimal human intervention [9].…”

Section: Introductionmentioning

confidence: 99%

Simulation of a Flexible Manufacturing System for Machining Some Industrial Parts

Patic

2023

Design, Construction, Maintenance

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One thought about this work because we consider that the operating procedure of flexible systems could be introduced in most factories that propose and have as a priority large-scale production. The mode of operation and planning of each robot is very close to reality thanks to the 3D simulation, made in the Alice three-dimensional graphic environment. With this procedure, one can highlight the main characteristic of a flexible manufacturing system, that is, the flexibility obtained through automation and at the same time the saving of working time. Thanks to the fact that a computerized machine system is used, any piece can be executed, at any time and in any quantity, representing an advantage for any factory that uses this system. Another major advantage is the development of new programs that allow the solution of numerous problems related to the coordination of the various components of the system and the optimal operation of the machine.

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