Development of robotic rover with controller &amp; vision system

Self-mobility electric wheelchairs are very useful for people with disabilities, so they can move without help in indoor environments. To create one selfmobility electric wheelchair, modern methods for control such as computer vision and machine learning can be applied. In particular, this electric wheelchair can move from any position in the indoor environment to the desired destination. For accuracy, natural landmarks are used and the navigation of the wheelchair is determined using a Q-learning reinforcement learning algorithm. In particular, this algorithm is applied to find the best path for the wheelchair to reach the destination. The article proposes a method to build one 2D grid map for wheelchair movement based on natural landmarks in the indoor environment. The new point of this method is that the position of the wheelchair can be accurately determined from a certain landmark instead of many landmarks applied in traditional methods. Some practical experiments were performed to illustrate the effectiveness of the proposed method in the indoor environment. This proposed method can be developed in more complex environments with natural landmarks.

Section: Navigation Of the Electric Wheelchair Based On Natural Landm...mentioning

confidence: 99%

“…However, ultrasonic or laser sensors cannot recognize landmarks and this is one of the major challenges in the positioning process. Therefore, it is necessary to use another type of sensor capable of collecting more different types of information such as a camera system [8].…”

Section: Introductionmentioning

confidence: 99%

Positioning an electric wheelchair in 2D grid map based on natural landmarks for navigation using Q-learning

Ngo

Hải

2023

“…The servo motor differed from the other motor types where it could rotate according to the required angles that can be obtained from the pulse length with the help of the microcontroller unit. In addition, the servo motor is characterised by a good torque and constant speed that is not affected by the change in load [23][24][25].…”

Section: Servo Motormentioning

confidence: 99%

Design and implementation of a smart home system with two levels of security based on IoT technology

Murad

Bayat

Marhoon³

2021

<span>Besides the development of technology in recent years, there has been an effective tendency to construct smart cities and homes. Whereas the smart home control system components can be incorporated with the existing home appliances to eliminate the need for human intervention, save electricity, protect homes from accidents as well as the theft, and provide home residents with comfort. This work comprises the utilising of the internet of things (IoT) technology to build the proposed design for the smart home. The proposed design includes many subsystems as well as several types of sensors, such as the passive infrared (PIR) sensor, the gas sensor, the soil moisture sensor, the water level sensor, the temperature sensor, the light dependent resistance (LDR), and the flame sensor. Each sensor will be connected to the Arduino Nano for the data processing purpose, after which the Arduino Nano will be connected to the NodeMCU module via the digital pins to implement the IoT subsystem. The proposed system also includes a smart garage gate based on Bluetooth HC-05 module with a specially programmed android app. </span>

“…An industrial robot is a specialized machine tool that best for the task of repetition and suitable whether the task is needed to be handled skilled or semi-skilled and the task that needs precision [1]. The robot has taken over the job from humans that include repetitive and dangerous tasks.…”

Section: Introductionmentioning

confidence: 99%

Modelling and proportional-integral-derivative controller design for position analysis of the 3-degree of freedom

Budin

Osman

2022

A closed-loop system or which can also be known as a feedback system helps the system to achieve the desired output by comparing the input and the output values. If any difference is detected, the closed-loop system will create an error signal and automatically responds to it. Other than that, the proportional-integral-derivative (PID) controller has a feedback mechanism. Thus, this creates the curiosity whether the closed-loop system and PID which both have the characteristic of a feedback system, can give the same. In this paper, the comparison of the model of 3 degree of freedom (DOF) Mitsubishi RV2-AJ is being made between two models of a robot arm that has a closed-loop system but only one that is embedded with PID controller while the other one is not, these two are simulated for different positions. The new model is created by using Solidworks which is later exported to Matlab-Simulink. The results from MATLAB-Simulink show that the model which is equipped with a PID controller has better results in terms of the rise time and percentage of overshoot. These results confirm the effectiveness of PID controller in producing smaller errors in the systems even when both models are created together with closed-loop systems.