The Chassis
In order to create the desired robot, a chassis was required. After an extensive search online, none of the available models met the criteria of being both compact and aesthetically pleasing. As a result, a decision was made to design the chassis from scratch. Despite not being a proficient artist, a 2D drawing was created as a reference for the 3D model.
3D Printing
Using Fusion 360, the 2D drawing was transformed into a 3D model. After 10 hours of continuous printing, the 3D printed parts were ready for assembly.
Motors and Wheels
N20 micrometal gear motors were chosen for their small size and powerful performance. To increase speed and smoothness, a couple of wheels were added.
Arduino Board
The Arduino Nano 33 IoT board was selected for its small size and integrated Wi-Fi and Bluetooth capabilities.
Sensors
An ultrasonic sensor was used to detect obstacles, while a couple of IR sensors were employed to detect the line.
Servo Motors
Two servo motors were added to control the robot’s arms.
Battery
A Li-Po battery was chosen for its small size and powerful performance.
AI
The Arduino AI cloud was integrated to give the robot the ability to learn and adapt.
Arduino’s AI-Integrated Journey
Arduino has taken a significant step forward in its journey towards AI integration. From mounting motors to constructing circuits, the process of creating a robot has been made easier and more efficient. The first step in this process is to connect the motors to their respective connectors. This can be done quickly and easily, allowing the motors to be mounted onto the motor holder and the assembly to be attached to the robot chassis using M3 screws.
3D Printed Stand-Offs
To create enough space for the electronics, 3D printed stand-offs are mounted. This allows for more flexibility in the design of the robot. Instead of using rubber wheels, mecham wheels are used. These wheels allow the robot to move in any direction, making it more versatile and dynamic.
Designing the Circuit
The next step is to design the circuit. This can be done using EASA, an online circuit design tool. Once the design is completed, the Gerber files can be uploaded to JLCPCB’s website to place an order. JLCPCB is a leading manufacturer of printed circuit boards, offering a wide range of PCBs and top-notch PCB assembly services at affordable prices. Their user-friendly ordering system provides instant quotes, making it easy for anyone to order the PCBs they need.
Quality PCB Delivery
The PCB delivery arrived and the quality was impressive. This is a testament to the quality of JLCPCB’s services. With the PCBs in hand, the robot can now be completed. The integration of AI into Arduino has made the process of creating robots easier and more efficient. If you’re ready to take your projects to the next level, head over to JLCPCB and let them handle the best.
The PCBs
The PCBs used for this project are of top-notch quality, allowing for quick and efficient sorting of header pins and screw terminals.
Mounting the Components
The Arduino Nano HR8 33 Moto driver Buck converter and NRF24L01 radio module were mounted to the receiver circuit. For the transmitter circuit, a smaller size necessitated the use of the CVOSA instead of the Arduino Nano. The SE Vinoa and ADXL 335 accelerometer sensor were then mounted to the transmitter circuit, followed by the sorting of the push button.
Robot Assembly
The robot assembly process was completed, with the hand glove being prepared for installation.
Programming
The programming of the robot was done using Chat GPD, a powerful AI language model. The code structure for both the transmitter and the receiver circuits was generated within a few seconds, providing a simple framework for communication and gesture recognition. The code was then customized to meet the project’s requirements.
Arduino’s AI-Powered Robotics
Arduino has been at the forefront of robotics technology, and its latest venture is no exception. With its foray into AI-powered robotics, Arduino is taking its robotics to the next level. By combining the power of AI with the flexibility of Arduino, users can create robots that are capable of responding to hand gestures, navigating corners, and even drifting in any direction.
Coding for AI-Powered Robotics
The process of creating AI-powered robots begins with coding. Arduino users can write their own codes to create robots that respond to hand gestures and move in any direction. After writing the code, users must upload it to the robot and install batteries to power the circuits. Once the robot is powered on, users can test the code to see if it is working correctly.
The Magic of AI-Powered Robotics
The magic of AI-powered robotics lies in its ability to respond to hand gestures and move in any direction. With the help of code, users can create robots that can move forward, backward, turn left and right, drift sideways, and even maneuver around corners. This level of flexibility and responsiveness is what makes AI-powered robotics so powerful and exciting.
Unlocking the Full Potential of AI-Powered Robotics
In order to unlock the full potential of AI-powered robotics, users must be able to write code that is both efficient and effective. By writing code that is optimized for the robot’s capabilities, users can create robots that are capable of responding to hand gestures and moving in any direction. This level of optimization is what allows users to create robots that are truly capable of performing complex tasks.
Arduino: A Brief History
Arduino is an open-source electronics platform based on easy-to-use hardware and software. It was created by Massimo Banzi and David Cuartielles in 2005, and has since been used by millions of makers, hobbyists, and professionals worldwide. Arduino boards are used to create interactive electronic objects, such as robots, sensors, and other interactive projects.
AI and Arduino: A Perfect Match
In recent years, Arduino has become increasingly popular for its use in Artificial Intelligence (AI) projects. AI is a branch of computer science that focuses on creating intelligent machines that can think and act like humans. AI can be used to automate tasks, analyze data, and even create new products and services. By combining Arduino and AI, makers can create powerful projects that can automate tasks, analyze data, and even create new products and services.
Arduino and AI: What Can You Do?
With Arduino and AI, makers can create a wide range of projects, from simple robots to complex AI-driven applications. For example, makers can use Arduino and AI to create robots that can recognize objects, respond to voice commands, and even play games. Makers can also use Arduino and AI to create applications that can analyze data, such as facial recognition systems or natural language processing systems.
The Future of Arduino and AI
The possibilities for Arduino and AI are virtually limitless. As AI technology continues to advance, makers will be able to create increasingly complex projects with Arduino and AI. In the future, makers may be able to create robots that can think and act like humans, or applications that can analyze data and make decisions on their own. The possibilities are truly endless.
Arduino’s foray into AI-powered robotics is an exciting development that has the potential to revolutionize the robotics industry. By combining the power of AI with the flexibility of Arduino, users can create robots that are capable of responding to hand gestures and moving in any direction. With the help of code, users can unlock the full potential of AI-powered robotics and create robots that are truly capable of performing complex tasks.
Arduino and AI are a perfect match. By combining the two, makers can create powerful projects that can automate tasks, analyze data, and even create new products and services. As AI technology continues to advance, makers will be able to create increasingly complex projects with Arduino and AI. The possibilities for Arduino and AI are virtually limitless.