This paper describes an intelligent travel control algorithm for a mobile robot vehicle using neural networks, and proposes a method that realizes path ...
This paper presents the development and implementation of neural control systems in mobile robots in obstacle avoidance in real time using ultrasonic sensors.
This paper proposes a Neural Network control system that is able to guide the mobile robots (AmigoBot and P3DX) traverse through a maze with arbitrary obstacles ...
It reacts to the real time obstacles on the four critical sides of the vehicle and takes necessary action. The sensor used for detecting the obstacle was an IR ...
Duration: 0:26
Posted: Jan 21, 2023
Posted: Jan 21, 2023
[PDF] Obstacle Avoidance for an Autonomous Robot Car using Deep ...
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The robot car used a camera for taking images of its surroundings. A convolutional neural network used the images for obstacle detection. The available dataset ...
Jun 19, 2023 · The intelligent device known as the Obstacle Avoiding Robot can detect impediments in its path automatically and steer clear of them by turning in a different ...
Jun 12, 2024 · This paper proposes a design method of intelligent controller for obstacle avoidance and navigation of electrical inspection mobile robot based on PLC control.
Autonomous vehicles are capable, using artificial intelligence, of recognizing their surroundings, navigating, and avoiding obstacles without human ...
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The purpose of the model is to control the movement of space rovers allowing them to travel across planetary surfaces while avoiding obstacles in a complete ...