Wireless control is one of the most fundamental necessities for people all around the world. Bluetooth is one of the most widely utilized wireless technologies. A Bluetooth control automobile is an autonomous car which can be wirelessly operated with a Bluetooth control system and an Arduino [1], [2]. With the combination of Arduino and Bluetooth, we can manage a variety of different devices, including home lighting and air conditioners, via our cell phones. The Arduino can also contribute significantly to the Smart Home system. With microcontrollers, we can now easily turn digital impulses into physical movements. Nowadays, people use autonomy in every field. There are numerous advantages, such as reduced risk of injury, speed, ability to work continuously, dependability, and so on. This Bluetooth-controlled autonomous car is an example of autonomy. This sort of automobile is utilized in law enforcement and military operations for a variety of reasons, including hazard exposure, which is managed from a position of relative safety. Many police bomb teams utilize these vehicles to defuse or explode devices.

NASA uses such vehicles for space exploration. European Space Agency (ESA) and ROSCOSMOS [3] have investigated and collected extensive data from space, the moon, and Mars. In recent times, large corporations have used remote control trucks to deliver their products. Many of the giant factories feature remote-controlled mobility. In this chapter we have proposed and implemented an autonomous car connected to an Arduino and a Bluetooth module. The remote device already has an Android application installed. We send our instructions to the vehicle via that application, which is connected to the vehicle's module. The Bluetooth module sends the command as a signal to the Arduino, which works with it. We implemented code in the Arduino that can work with signals and convert them into pre-defined actions. Signals were sent to the motors, and the car began to run. This car does not have advanced functions, but we can add features such as line detection or obstacle detection, and we can attach a camera to the vehicle and view it with the remote. This is simply a basic prototype of a mobile app based Bluetooth-controlled autonomous car; we may add a lot of advanced features to make it armed/especially capable. This paper sought to create an autonomous car prototype made using Arduino and controlled by Android software that can follow manual or automatic pathways. Until now, research and analysis of the simulation of experiments have shown that it is possible to use the prototype designed for cognitive development, with future users learning to insert custom paths that can process logic issues and more complex mathematics, allowing the prototype to perform the desired movements. Once we have calculated the financial cost of the design, it is believed that it is viable to build this type of prototype because the components utilized are quite inexpensive, especially if they are chosen for large-scale manufacturing. It is worth noting that both the Arduino programming language and the Arduino development language are free, so there are no additional charges for project development, and this also applies to the development tools [4], . Rest of the paper is organized as follows. In Section 2 we discussed the existing recent papers briefly. In Section 3 we described the required hardware and software materials for this in Section 4 the implementation flow, wiring map and the description of the prototype is given. In Section 5 the reliability of the prototype is analyzed in different parameters like efficiency, power consumption and feedback from user and the future scope is discussed.

The objective is to build an autonomous electric vehicle which is cost-effective, Bluetooth-controlled to facilitate automatic parking through a mobile app [5]. Numerous research has been published to introduce robotic devices which automates human work. These robotic designs were managed by software applications. A robot was created controlled by Android which was utilized for wireless information transfer [6]. In work [7], the robotic system was implemented using an 8051 microcontroller, Bluetooth module, and a surveillance camera. In work [8] with the help of Android and Bluetooth, a communication-based robotic platform has been developed. We have seen a number of Bluetooth-Controlled autonomous car for material handling which can be used for security surveillance and rescue missions [9–11]. In study [12] an autonomous off road robot is described which can avoid obstacle through a navigation system by the help of a map. Arduino was utilized in [13] to implement a Bluetooth-controlled robot and by with the help of linear interpolation, sensor data were obtained in this collision-free architecture. Additionally, we also have seen in [14] the pick-and-drop robot which can be used in security purposes like defusing a bomb or land mines. In research [15] an Android based robotic automobile with Bluetooth module was described. In [16] the authors have discussed an Arduino based autonomous car. Another battery-based design of an Android-based autonomous car was seen in [17]. How to overcome human errors and manoeuvring from manual and autonomous driving was discussed in [18]. In [19] we have seen a robot which can be used for cleaning fertilizer equipment implemented through a sensor which gathered vital data. At another design, robotics was incorporated.

To understand the efficiency and reliability of the design we have carried out some study. The autonomous car was powered by 4 Lithium-ion battery with a diameter of 18 mm and a length of 65 mm with a capacity of 2000 MaH each. The 4 batteries can drive the prototype car having a weight of 2.5 Kg within a distance of 15 meters for 4 hours and running a distance of 2.5 Km. The reliability of the design is tested almost to the capacity of 100% as during the testing period the instructions of 6 types are given through the mobile app and followed by the autonomous car with a minor glitch of 3 out of 120 times (20 per instructions). The three glitches where the instruction was not smoothly carried out was due to some mistake in soldering process and once rectified was working smoothly. We briefly present in Table 1 the result of the testing we have carried out.

A study of user-satisfaction was carried to a group of 50 users asking them to rate the ease of usability in a scale of 1-5 (1 is lowest and 5 is best). Out of this study 46 users have rate this mobile app usability as 5 and 4 of them has rated as 4. The autonomous car built so far is sufficient to be used for automatic parking through the mobile app. The future development of this project can be manifold. We can use camera to make this autonomous car fit for surveillance. A motion sensor can be used to make this car avoid obstacle which makes it fit for automatic carrier of goods and their can be use of other sensors through which it can perform other duties.