Control and Navigation of an Autonomous Mobile Robot with Dynamic Obstacle Detection and Adaptive Path Finding Algorithm

Mutlu, Lutfi; Uyar, Erol

doi:10.3182/20120905-3-hr-2030.00131

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…In particular [24] shows that, if a mobile robot is required to achieve a mission, it has to get feedback from its environment; the self-mapping of the environment was based on laser measurement sensor with dynamic obstacle avoidance and trajectory planning algorithm.…”

Section: Literature Review 221 Path Planningmentioning

confidence: 99%

“…In addition, localization contains several steps, begins with the measurements taken from the real world and then post-processes those data in order to eliminate the uncertainties that appeared in the measured information. Afterwards, the robot can be said to have a reliable estimation of its current position [24]. These problems related significantly to the major part of the autonomous navigation which is the map generation.…”

Section: The Simulated Systemmentioning

confidence: 99%

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Diploma Thesis Self-driving (Autonomous) Car Simulation in Ros System

Jawad

2023

Preprint

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Autonomous car development process considered as a hard task that required to test and evaluate the proposed system, for this reason, the simulation considers as a powerful tool, as it provides testing the system components interaction, evaluates the suggested autonomous solutions with no risks. This thesis presents a simulated self-driving car robot under ROS and Gazebo simulation environment. The complete task involves creating the robot model, integrating the simulated perception system and enable autonomous navigation inside a generated 2D map of the virtual world. The results emphasize that this method of compiling programming and simulating provide a reliable piece of work which its outcomes have a direct impact on self-driving cars development.

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Section: Literature Review 221 Path Planningmentioning

confidence: 99%

Section: The Simulated Systemmentioning

confidence: 99%

Diploma Thesis Self-driving (Autonomous) Car Simulation in Ros System

Jawad

2023

Preprint

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Development of an autonomous smart-parallel-parking robot for the prototype of collaborative robots

Wulandari

Malada

Arrazi

et al. 2019

IOP Conf. Ser.: Earth Environ. Sci.

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One of the main problems of the collaborative mobile robot application is to share the exact information of the robot itself and the surrounding area. Each robot needs to maintain its stability and positioning in order to achieve the target. As one of the samples of achieving the positioning task, a parallel parking problem was used in this paper. This paper used a car-like robot to do a parallel parking task. Front wheels were steered by using a connected joint and a servo motor. Meanwhile, each of the rear wheels was connected to a motor DC. Four ultrasonic sensors were used to find the distance between the robot and its surrounding (fixed in front, back, middle right, and middle of right - back side). The sensors connected to an Arduino Uno as the main microcontroller. The robot used a positioning algorithm based on the distance to nearest objects. The robot is designed only for parking on the right side of the car with an assumption there is no obstacle in the left side of the car. The experimental results confirmed that our system can solve the parallel parking problem. However, during the test, the output of the sensor was were affected by the noise from the environment. Another problem was the robot hardly to move straight because the rubber tires were not installed neatly. In the future works, the data output needs to filter and corrected and the servo degree needs to be initially corrected based on the chassis and tires angle.

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