Hybrid Spiral STC-Hedge Algebras Model in Knowledge Reasonings for Robot Coverage Path Planning and Its Applications

Hai, Pham Van; Asadi, Farzin; Abut, Nurettin; Kandilli, İsmet

doi:10.3390/app9091909

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…The number of agents will influence the result. According to different search strategies, the algorithm of CCPP mainly includes random coverage method [12,13], element decomposition method [14], grid-based method [15−17], spanning tree coverage method [18], and intelligent method [19−21] and so on in recent years. These research and achievements are mainly focused on the known environment and adopted the centralized method as the solution.…”

Section: Introductionmentioning

confidence: 99%

Distributed Collaborative Complete Coverage Path Planning Based on Hybrid Strategy

Zhang,

Du,

Dong

et al. 2024

J. of Syst. Eng. Electron.

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Collaborative coverage path planning (CCPP) refers to obtaining the shortest paths passing over all places except obstacles in a certain area or space. A multi-unmanned aerial vehicle (UAV) collaborative CCPP algorithm is proposed for the urban rescue search or military search in outdoor environment. Due to flexible control of small UAVs, it can be considered that all UAVs fly at the same altitude, that is, they perform search tasks on a two-dimensional plane. Based on the agents' motion characteristics and environmental information, a mathematical model of CCPP problem is established. The minimum time for UAVs to complete the CCPP is the objective function, and complete coverage constraint, no-fly constraint, collision avoidance constraint, and communication constraint are considered. Four motion strategies and two communication strategies are designed. Then a distributed CCPP algorithm is designed based on hybrid strategies. Simulation results compared with patternbased genetic algorithm (PBGA) and random search method show that the proposed method has stronger real-time performance and better scalability and can complete the complete CCPP task more efficiently and stably.

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Section: Introductionmentioning

confidence: 99%

Distributed Collaborative Complete Coverage Path Planning Based on Hybrid Strategy

Zhang,

Du,

Dong

et al. 2024

J. of Syst. Eng. Electron.

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“…A manual robot refers to a manipulation system that requires continuous human involvement to operate [10]. In the beginning, spatial algebra [11], forward kinematics [12][13][14], differential kinematics [15][16][17], inverse kinematics [18][19][20][21][22], etc. were explored by researchers for pick and place tasks, which is not the only application of robotic manipulation systems but the stepping-stone for a wide range of possibilities [23].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Vision-Based Robotic Applications: Current State, Components, Approaches, Barriers, and Potential Solutions

et al. 2022

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Being an emerging technology, robotic manipulation has encountered tremendous advancements due to technological developments starting from using sensors to artificial intelligence. Over the decades, robotic manipulation has advanced in terms of the versatility and flexibility of mobile robot platforms. Thus, robots are now capable of interacting with the world around them. To interact with the real world, robots require various sensory inputs from their surroundings, and the use of vision is rapidly increasing nowadays, as vision is unquestionably a rich source of information for a robotic system. In recent years, robotic manipulators have made significant progress towards achieving human-like abilities. There is still a large gap between human and robot dexterity, especially when it comes to executing complex and long-lasting manipulations. This paper comprehensively investigates the state-of-the-art development of vision-based robotic application, which includes the current state, components, and approaches used along with the algorithms with respect to the control and application of robots. Furthermore, a comprehensive analysis of those vision-based applied algorithms, their effectiveness, and their complexity has been enlightened here. To conclude, there is a discussion over the constraints while performing the research and potential solutions to develop a robust and accurate vision-based robot manipulation.

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“…These achieved theoretical results sufficiently form a necessary formalized basis for solving application problems in different fields. One can find its applications in cybernetics [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30], in classification and regression [31,32,33], decision making [38,39], multi-channel image processing [37], robotics [45,46,47,48,49], networking [43,44], fuzzy linguistic time series [40,41,42], linguistic data summaries [35,36], databases and object-oriented databases based on hedge algebraic semantic [58,59,60], and it is not the end.…”

Section: Introductionmentioning

confidence: 99%

Information and Mathematical Structures Contained in the Natural Language Word Domains and Their Applications

Hồ

2021

JCC

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The study stands on the standpoint that there exist relationships between real-world structures and their provided information in reality. Such relationships are essential because the natural language plays a specifically vital and crucial role in, e.g., capturing, conveying information, and accumulating knowledge containing useful high-level information. Consequently, it must contain certain semantics structures, including linguistic (L-) variables’ semantic structures, which are fundamental, similar to the math variables’ structures. In this context, the fact that the (L-) variables’ word domains can be formalized as algebraic semantics-based structures in an axiomatic manner, called hedge algebras (HAs,) is still a novel event and essential for developing computational methods to simulate the human capabilities in problem-solving based on the so-called natural language-based formalism. Hedge algebras were founded in 1990. Since then, HA-formalism has been significantly developed and applied to solve several application problems in many distinct fields, such as fuzzy control, data classification and regression, robotics, L-time series forecasting, and L-data summarization. The study gives a survey to summarize specific distinguishing fundamental features of HA-formalism, its applicability in problem-solving, and its performance.

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Hybrid Spiral STC-Hedge Algebras Model in Knowledge Reasonings for Robot Coverage Path Planning and Its Applications

Cited by 8 publications

References 18 publications

Distributed Collaborative Complete Coverage Path Planning Based on Hybrid Strategy

Distributed Collaborative Complete Coverage Path Planning Based on Hybrid Strategy

A Comprehensive Review of Vision-Based Robotic Applications: Current State, Components, Approaches, Barriers, and Potential Solutions

Information and Mathematical Structures Contained in the Natural Language Word Domains and Their Applications

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