A remotely controlled ground robot prototype combining Arduino UNO, three wireless links (Bluetooth, Wi-Fi, 433 MHz RF) and a camera whose images are analyzed with YOLO.
An academic project titled "Design and Implementation of a Robot for Special Tasks", carried out by a team of students with technical assistance from Techno Enjaz, to build a prototype of a remotely controlled ground robot. It combines embedded control on an Arduino UNO, three wireless links (Bluetooth, Wi-Fi, and 433 MHz RF), and a camera that streams its images to a computer running the YOLO algorithm to detect and classify people.
The book frames the project as a field robot that reduces people's exposure to danger in hazardous environments, but the implemented prototype is entirely a lab model: it carries no weapon, ammunition, or explosive material, and its responses are simulated with audio clips stored on an MP3-TF-16P module. A highlight of the documentation is the CST modeling of the HC-05 Bluetooth module's antenna, which showed a center frequency of 2.3819 GHz and a standing wave ratio of about 1.2.
| Item | Details |
|---|---|
| Project type | Prototype of a remotely controlled ground robot |
| Field | Embedded systems, robotics, wireless communications, computer vision |
| Project status | Prototype tested in a simulated environment, not a field system |
| Techno Enjaz role | Technical support and assistance to the students during project development |
| Core technologies | Arduino UNO and Arduino Nano, L298N, HC-05, RF433MHz, MG995 and SG90, MP3-TF-16P, Python, YOLO, CST |
| Outputs | Mobile platform moving in four directions, camera images streamed over Wi-Fi, computer-vision detection and classification, separate wireless payload module, HC-05 antenna model |
The project starts from the fact that hazardous environments, such as mined, rugged, or exposed areas, put people at direct risk when they enter them. The book proposes a robot operated remotely from a safe position that sends the scene back to the operator, helps detect people and analyze images automatically, and can carry a payload to a set location and then move away from it.
The first chapter reviews well-known ground robots such as PackBot 525, TALON, MAARS, and Dragon Runner as background; their specifications are not results of this project.
The project was carried out academically by the students, with technical assistance and support from Techno Enjaz during development, covering the integration of the electronic components, connecting the control and communication modules, and testing the robot's software. It is presented among the office's work as an example of its support for projects that combine embedded systems, wireless communications, and computer vision.
The system works in integrated layers, each with its own communication link:
The prototype consists of two independent circuits: the robot circuit and the payload circuit.
| Component | Role in the system |
|---|---|
| Arduino UNO | Main controller for all robot operations |
| L298N driver | Controls the direction and speed of the DC motors |
| TT-type DC motors | Drive the platform |
| HC-05 Bluetooth module | Receives motion commands from the computer over UART |
| RF433MHz transmitter | Sends wireless commands to the payload circuit |
| Two MG995 servos | Hold the camera and move the gripper |
| MP3-TF-16P audio module | Plays the stored audio clips |
| DC-DC step-down regulator | Steps the battery voltage down from 12 V to 5 V to power the circuits |
| Batteries and charging circuit | Power the system and keep it running |
| Wi-Fi camera | Sends images to the computer through an IP address |
| Component | Role in the system |
|---|---|
| Arduino Nano | Main controller for the payload circuit |
| RF433MHz receiver | Receives wireless commands from the robot |
| SG90 servo | Moves the payload mechanism |
| MP3-TF-16P audio module | Plays a stored sound when the command arrives |
The book's theory chapters explain these components in detail, including the H-bridge principle in the L298N, signal modulation in RF433MHz modules such as ASK, and wiring the HC-05 to the controller through the TX and RX pins. To understand the interface linking the HC-05 module to the controller, read our article UART vs I2C vs SPI vs RS-232 in embedded systems.
| Link | Module | Function |
|---|---|---|
| Bluetooth | HC-05 | Controlling the robot's motion from the computer |
| Wi-Fi | Camera via IP address | Sending images to Python for analysis and target identification |
| 433 MHz RF | RF transmitter and receiver | Remotely controlling the separate payload module |
Separating the links this way lets motion control over Bluetooth continue independently of the heavier image stream over Wi-Fi.
The AI part relies on YOLO (You Only Look Once), which detects objects in an image in a single pass through the neural network. The book reviews the evolution of YOLO versions and compares them with algorithms such as R-CNN and SSD, explains the Roboflow platform and the stages of training YOLO models on it (uploading images, annotation, data preparation, training, and deployment), and gives a theoretical explanation of the Kalman filter used for state estimation and object tracking.
The book does not state the size of the training dataset, the YOLO version used, or accuracy metrics for the implemented model.
The team studied the HC-05 Bluetooth module's antenna through electromagnetic simulation in CST, modeling the antenna structure, then adding the feed and analyzing its characteristics:
| Parameter | Simulated value |
|---|---|
| Center frequency (from the S11 curve) | 2.3819 GHz |
| Frequency band | 2.3555 to 2.4074 GHz |
| Best standing wave ratio (SWR) | About 1.2 at resonance |
| Directivity at 2.4 GHz | 4.710 dBi |
These values indicate good matching between the antenna and the transmission line within the simulation; they are modeling results, not lab measurements on the physical module.
The robot was tested in a simulated environment, and the book reports that the following functions worked:
These are descriptive functional results; the book reports no quantitative measurements for the implemented system, such as detection accuracy, response time, frames per second, actual link range, or battery runtime, so no undocumented accuracy or performance figures are attributed to the prototype.
According to the book's future-outlook chapter, the idea could be developed through:
The book devotes a section to the ethical dimensions of using robots in conflict, noting that automated systems do not grasp the ethical complexity of life-and-death decisions and that any such use must be subject to strict legal frameworks that ensure respect for human rights. The prototype shown here is an educational experiment in control, communications, and computer vision, with no real destructive capability.
If you are working on a remote-controlled ground robot and need technical help developing the idea or building a prototype, you can contact the Techno Enjaz office to discuss your project's requirements and the appropriate scope of support.
It is a prototype of a remotely controlled ground robot, built by a team of students with technical assistance from Techno Enjaz as an academic project titled "Design and Implementation of a Robot for Special Tasks". The robot combines embedded control on an Arduino UNO with three wireless links and a camera whose images are analyzed with YOLO on a computer.
The operator sends motion commands from the computer keyboard through a Python script to the HC-05 Bluetooth module; the Arduino UNO processes them and drives the motors through the L298N in four directions. The camera connects to the computer over Wi-Fi via an IP address, separately from Bluetooth, and a 433 MHz RF link controls a separate payload module.
The robot circuit includes an Arduino UNO, an L298N driver, TT DC motors, an HC-05 module, an RF433MHz transmitter, two MG995 servos, an MP3-TF-16P audio module and a DC-DC regulator stepping 12 V down to 5 V. The separate payload circuit includes an Arduino Nano, an RF433MHz receiver, an SG90 servo and an audio module.
The electromagnetic simulation in CST showed a center frequency of 2.3819 GHz within a band from 2.3555 to 2.4074 GHz, a best standing wave ratio of about 1.2 at resonance, and a directivity of 4.710 dBi at 2.4 GHz. These are modeling results indicating good matching between the antenna and the transmission line, not lab measurements.
No. It is a lab prototype tested in a simulated environment and carries no weapon, ammunition or explosive material; its responses are simulated with stored audio clips. The book documents no quantitative measurements such as detection accuracy or link range, and control is manual from a laptop without autonomous navigation.
Reach out to Techno Enjaz engineering team to discuss technical feasibility, prototype hardware, and development scope.
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