Remote path planning and motion control of mobile robot within indoor maze environment

Lutvica, Kemal; Velagić, Jasmin; Kadic, Nihad; Osmić, Nedim; Dzampo, Gregor; Muminovic, Hajrudin

doi:10.1109/isic.2014.6967625

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…Modeling the map environment with the grid method is a common classical graph algorithm in path planning research [ 23 ]. In this paper, the underwater environment was dispersed into grids of the same size and shape, and the size needed to satisfy the kinematic constraint of the AUV.…”

Section: Ae Algorithmmentioning

confidence: 99%

Research on Multi-AUVs Data Acquisition System of Underwater Acoustic Communication Network

Gao

Chen

2022

Sensors

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In order to meet the needs of large-scale underwater operations, the underwater acoustic communication network emerged, marking a historic moment. At the same time, the development of artificial intelligence has promoted the application of intelligent underwater robots in large-scale underwater operations, and the research on related algorithms has been gradually promoted. Due to the complexity of underwater operations and the difficulty of replacing batteries, the energy efficiency of intelligent underwater robots is particularly important in multi-AUVs data acquisition systems. In view of the energy consumption of multi-AUVs data acquisition systems in water acoustic cluster networks, this paper proposed the AE (A*-Energy) algorithm for multi-AUVs task assignment and path planning. Through the simulation experiment, it was proved that the AE algorithm proposed in this paper can effectively reduce the energy consumption of multi-AUVs data acquisition systems and has good energy efficiency.

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Section: Ae Algorithmmentioning

confidence: 99%

Research on Multi-AUVs Data Acquisition System of Underwater Acoustic Communication Network

Gao

Chen

2022

Sensors

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“…As a rule, the planning of trajectories and trajectories were part of further complete concept: motion planning [4], [27]. Such as Lutvica et al [29] proposed both path planning and trajectory execution within an indoor maze environment.…”

Section: Cognition Path Trajectory Tracking and Motion Planningmentioning

confidence: 99%

A one decade survey of autonomous mobile robot systems

Zghair

Al-Araji

2021

IJECE

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<span lang="EN-US">Recently, autonomous mobile robots have gained popularity in the modern world due to their relevance technology and application in real world situations. The global market for mobile robots will grow significantly over the next 20 years. Autonomous mobile robots are found in many fields including institutions, industry, business, hospitals, agriculture as well as private households for the purpose of improving day-to-day activities and services. The development of technology has increased in the requirements for mobile robots because of the services and tasks provided by them, like rescue and research operations, surveillance, carry heavy objects and so on. Researchers have conducted many works on the importance of robots, their uses, and problems. This article aims to analyze the control system of mobile robots and the way robots have the ability of moving in real-world to achieve their goals. It should be noted that there are several technological directions in a mobile robot industry. It must be observed and integrated so that the robot functions properly: Navigation systems, localization systems, detection systems (sensors) along with motion and kinematics and dynamics systems. All such systems should be united through a control unit; thus, the mission or work of mobile robots are conducted with reliability.</span>

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“…One of the most well known and complex problems in the field robotics is to find the optimum path in a topology from one point to another. Many algorithms have been successfully proposed during the previous years to control the robots movement effectively and guide them to find the shortest path between two specific spots in a topology [1][2][3]. In many cases the nature itself provides for centuries, solutions in similar problems.…”

Section: Introductionmentioning

confidence: 99%

Introducing Chemotaxis to a Mobile Robot

Semertzidou

Dourvas

Tsompanas

et al. 2016

IFIP Advances in Information and Communication Technology

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This paper deals with the path planning problem of a robot in a maze based on a parallel chemotaxis bio-inspired model. The goal is the effective search of a route, which can connect the starting position of an autonomous robot with a final requested destination. To find this route the robot has to take under consideration its geometry, elements of its environment such as movements' restrictions by obstacles and other characteristics of the topology. Chemotaxis is a term found in biology and refers to the movement of an organism in response to a chemical stimulus. Among numerous examples of such biological form here we get inspiration by Physarum polycephalum, since this slime mold has shown the ability to find the shortest path in a maze between two spots, where chemicals exist, by following the gradient of the chemo-attractants. Inspired by this behavior, chemotaxis will be used here to lead a robot to its desired destination inside a labyrinth. A device transmitting signals can be considered as an equivalent chemical source and the robot's receiver will follow the increased gradient of signal's amplitude. Moreover, an effective model, that has the ability to simulate such a problem reducing the calculations' complexity and in the same time mimicking the specific behavior, namely Cellular Automata (CA)is coupled with chemotaxis. As a result, the design and implementation of a CA based bio-inspired algorithm is proposed and an E-Puck robot uses the exact algorithm to find the shortest path in different topologies as a proof of concept.

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Remote path planning and motion control of mobile robot within indoor maze environment

Cited by 9 publications

References 8 publications

Research on Multi-AUVs Data Acquisition System of Underwater Acoustic Communication Network

Research on Multi-AUVs Data Acquisition System of Underwater Acoustic Communication Network

A one decade survey of autonomous mobile robot systems

Introducing Chemotaxis to a Mobile Robot

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