Autonomous smart robot for path predicting and finding in maze based on fuzzy and neuro‐Fuzzy approaches

Batti, Habiba; Jabeur, Chiraz Ben; Seddik, Hassene

doi:10.1002/asjc.2345

Cited by 13 publications

(7 citation statements)

References 21 publications

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“…Therefore, a robust controller will be provided for the phenotyping robot since the robot control system can use the merits of both technologies (combining two control strategies). Batti et al (2020) studied the performance of fuzzy logic and neuro-fuzzy (NN + FL) approaches to guide a mobile robot moving between the static obstacles. The authors found that neuro-fuzzy controller provide better results for robot navigation compare to fuzzy logic controller.…”

Section: Sensors and Controllers Fusion Technique Can Improve The Performance Of Robotmentioning

confidence: 99%

Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives

Atefi

Pitla

et al. 2021

Front. Plant Sci.

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Phenotyping plants is an essential component of any effort to develop new crop varieties. As plant breeders seek to increase crop productivity and produce more food for the future, the amount of phenotype information they require will also increase. Traditional plant phenotyping relying on manual measurement is laborious, time-consuming, error-prone, and costly. Plant phenotyping robots have emerged as a high-throughput technology to measure morphological, chemical and physiological properties of large number of plants. Several robotic systems have been developed to fulfill different phenotyping missions. In particular, robotic phenotyping has the potential to enable efficient monitoring of changes in plant traits over time in both controlled environments and in the field. The operation of these robots can be challenging as a result of the dynamic nature of plants and the agricultural environments. Here we discuss developments in phenotyping robots, and the challenges which have been overcome and others which remain outstanding. In addition, some perspective applications of the phenotyping robots are also presented. We optimistically anticipate that autonomous and robotic systems will make great leaps forward in the next 10 years to advance the plant phenotyping research into a new era.

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Section: Sensors and Controllers Fusion Technique Can Improve The Performance Of Robotmentioning

confidence: 99%

Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives

Atefi

Pitla

et al. 2021

Front. Plant Sci.

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“…Figure 1. Direction of the rotation of rotors [17] The equations of forces applied to the quadcopter and the moments acting on the quadrotor using the Newton-Euler formulation and the dynamic system model are shown in (1) [18], { 𝜁 ̇ = 𝑣 𝑚𝜁 ̈= 𝐹 𝑓 + 𝐹 𝑡 + 𝐹 𝑔 𝑅 = 𝑅𝑆(𝛺) ̇ 𝐽𝛺 = −𝛺𝛬𝐽𝛺 + 𝑀 𝑓 − 𝑀 𝑎 ̇− 𝑀 𝑔ℎ (1) where 𝜁 : The vector representing the position of the quadrotor m : The total mass of the quadrotor Ω : The angular velocity expressed in the fixed reference frame R : The rotation matrix Λ : The vector product…”

Section: The Mathematical Model Based On Newton-euler Theorymentioning

confidence: 99%

Nonlinear Kalman filter for gyroscopic and accelerometer noise rejection of an unmanned aerial vehicle control strategy

Arfa,

Ben Jabeur,

Fathallah

et al. 2024

IJRA

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This study addresses timing issues inherent in traditional proportional-integral-derivative (PID) controllers for drone angle control and introduces an innovative solution, the adaptive PID flight controller, aimed at optimizing PID gains for improved performance in terms of speed, accuracy, and stability. To enhance the controller's robustness against noise and accurately estimate the system's state, a Kalman filter is incorporated. This filtering mechanism is designed to reject noise and provide precise state estimation, thereby contributing to the overall effectiveness of the adaptive PID flight controller in managing altitude dynamics for unmanned aerial vehicles (UAVs). The comparative methodology evaluates three configurations: a single PID controller for all three angles, two PID controllers dedicated to pitch/roll and yaw angles separately, and three PID sub-controllers for each angle (pitch, roll, and yaw). The study seeks to identify the most effective PID configuration in terms of stability, responsiveness, and accuracy while highlighting the added benefits of noise rejection and state estimation through the Kalman filter. This integrated approach showcases innovation and effectiveness, introducing a comprehensive solution not explored in previous research.

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“…Numerous studies examine the usage of mazes, but few employ imperfect mazes. Some researchers [17]- [21] have utilized mazes for robot mobility. The research utilizing the maze will be described below.…”

Section: Introductionmentioning

confidence: 99%

Room cleaning robot movement using A* algorithm and imperfect maze

et al. 2023

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Cleanliness is a mandatory requirement to help prevent virus spread. The cleaning process can be done automatically by humans or robotic devices. If a robot does this process, it is a must that the robot is able to explore the room autonomously. The robot movement in room tracking should reach all points without obstructions and return to its initial position. This study simulated the movement of a room explorer robot using the imperfect maze method, as well as searching a room that has not been explored using the A* algorithm. The A* algorithm was also used to find the shortest path to reach the initial place of the robot when the room exploration was completed. The results of the simulation showed that the imperfect maze could be used to explore the room well, and A* algorithm is quite optimal to be used for searching both the unexplored room and the path to return to its initial position

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Autonomous smart robot for path predicting and finding in maze based on fuzzy and neuro‐Fuzzy approaches

Cited by 13 publications

References 21 publications

Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives

Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives

Nonlinear Kalman filter for gyroscopic and accelerometer noise rejection of an unmanned aerial vehicle control strategy

Room cleaning robot movement using A* algorithm and imperfect maze

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