As a powerful open source single-board computer, Raspberry Pi has always attracted the attention of a large number of technology enthusiasts, students and engineers. And Raspberry Pi's robot kits have brought the potential of this technology platform to the extreme. Whether you are a robot beginner or an experienced developer, there are many Raspberry Pi robot kits on the market that suit different needs.
Today, we will recommend you 10 most worthwhile Raspberry Pi robot kits to make your exploration of robotics smoother.
Each robot kit has different features, depending on needs, budget and skills. An overview of each kit will be provided, so please take a closer look to find the most suitable kit.
Note: The kits listed in this article are ranked in no particular order, and all recommended products have excellent performance and development potential.
1. Raspberry Pi DOFBOT Robotic Arm Kit
This Raspberry Pi robotic arm is mainly composed of an aluminum alloy bracket, a sturdy chassis, a multi-function expansion board, six bus servos and a camera. Through the ROS robot control system, the complex motion control of the 6-DOF serial bus servo is simplified. Using OpenCV as the image processing library, the mainstream JupyterLab as the development tool, and Python as the main programming language, a series of AI visual functions have been created, such as: gesture recognition, color recognition, visual positioning, garbage classification, object grabbing, face tracking, building block stacking and other functions. It also supports multiple control methods such as APP, PC host computer, handle, and JupyterLab.
Power supply: 12V 5A power adapter
Servo: 15KG serial bus intelligent servo (metal gear) *5 + 6KG serial bus intelligent servo (plastic gear) *1
Operating system: raspios-bookworm + Docker + ROS1_Melodic
Programming language: Python
Tutorial Link: http://www.yahboom.net/study/Dofbot-Pi
2. Raspberry Pi Robot Dog
This is a desktop-level bionic robot dog with 12 degrees of freedom, mainly composed of 6 servos, an aluminum alloy bracket and a camera. It is equipped with lMU and joint position sensors, which can feedback its own posture, joint rotation angle and torque. The coprocessor combines the inverse kinematics algorithm to achieve various motion gaits and superposition effects. Using Raspberry Pi 5 as its main controller, based on the ROS2 operating system, through Python programming, it can realize AI visual recognition, lidar mapping navigation, voice control and other functions.
Power supply: 8.4V 3800mAH two rechargeable batteries (batteries are already included in the shipping list)
Servo: 4.5KG.CM bus servo
Operating system: raspios-bookworm + Docker + ROS2_Humble
Programming language: Python
Tutorials link: http://www.yahboom.net/study/DOGZILLA
3. Raspberry Pi G1 Tank
This tank kit is designed based on the Raspberry Pi 4B. The whole vehicle uses a blue aluminum alloy frame and looks very beautiful. It comes with plastic tracks, a high-power 370 motor, and a metal coupling. Under sufficient friction conditions, it can climb 60 degrees and adapt to a variety of complex terrains. On the tail of the car, we also equipped it with a degree of freedom camera gimbal and a high-definition camera module. In the same local area network, you can view the video footage shot by the camera in real time through the mobile phone APP. Some simple AI visual recognition functions can also be realized.
Power supply: 12.6V rechargeable lithium battery pack (the battery is already included in the delivery list)
Motor: 310 metal motor with speed code disk*2
Programming language: Python, C language
Tutorials link: http://www.yahboom.net/study/G1-T-PI
4. Raspbot-V2 car
RASPBOT-V2 is an open source AI vision car for beginners. It uses a Mecanum wheel chassis, a Raspberry Pi 5 as the main control, a high-definition wide-angle camera, and OpenCV image processing library and MediaPipe machine learning framework. It can realize color recognition, target tracking, license plate recognition, autonomous driving, face recognition, gesture recognition and other functions. There is a two-degree-of-freedom device in front of the car body, and users can control the camera to move flexibly in the horizontal and vertical directions, and can realize AI visual tracking function. In addition, it also supports the expansion of multiple sensors to achieve a richer perception and interactive experience.
Power supply: 7.4V 2000mAH 2S lithium battery (the battery is already included in the delivery list)
Servo/motor: YB-SG90 9G digital servo*2 (camera gimbal) + TT reduction motor*4
Programming language: Python
Operating system: raspios-bookworm+Docker+ROS2_Humble
Tutorials link: http://www.yahboom.net/study/RASPBOT-V2
5. Rider-Pi wheel-legged robot car
Rider-Pi is a desktop wheeled robot with a built-in inertial measurement unit (IMU). With a carbon fiber connecting rod structure, the robot can adjust the joint angle in real time to adapt to different terrain obstacles. Based on the Raspberry Pi CM4 module, it uses Python programming and supports a series of AI functions such as face recognition, color tracking/following, QR code motion control, object detection, license plate recognition, gesture following, etc. It comes with a 2.0-inch IPS display that can display video images and 35 dynamic expressions in real time. In addition, Rider-Pi also supports ChatGPT (note: you need to pay some extra fees), which can realize voice Q&A, voice control, text-to-picture, picture-to-text and other applications.
Power supply: 18500 2S 1400mAh rechargeable battery pack (the battery is already included in the delivery list)
Servo/motor: 4.5KG CM serial bus servo*2 | 8.4V brushless hub motor*2
Programming language: Python
Tutorials link: http://www.yahboom.net/study/Rider-Pi
6. Transbot-SE tracked car
TRANSBOT-SE is a tracked intelligent robot developed based on the ROS robot operating system. It is equipped with a 3-DOF robotic arm and a 2-DOF camera gimbal. It is compatible with Jetson Nano B01 and Raspberry Pi 5 master controllers. It has built-in OpenCV image processing algorithms, MediaPipe machine learning, AI deep learning framework, and movelt simulation platform. It can realize robot motion control, robotic arm handling, remote control communication, intelligent AI recognition, tracking, automatic driving, robotic arm simulation control and other functions.
Power supply: 12.6V 4400mAH rechargeable battery pack (battery is already included in the shipping list)
Servo/motor: 205+10rpm 520 encoder reduction motor*2 | 15KG·CM serial bus servo (metal gear)*2+6KG·CM serial bus servo (plastic gear)*1
Programming language: Python
Operating system: raspios-bookworm+Docker+ROS_Melodic
Tutorials link: http://www.yahboom.net/study/Transbot-SE
7.Muto RS Bionic Hexapod Robot
Muto RS is a desktop-level 18-DOF bionic hexapod robot, developed and designed based on ROS2, and compatible with Jetson NANO and Raspberry Pi. The overall body is made of aluminum alloy, containing 35KG serial bus servo, depth camera, lidar, and voice module. Through Python3 programming and built-in high-precision algorithms, Muto RS can easily achieve AI visual interaction, 3D mapping navigation, voice interaction, deep learning, and Rviz simulation. Based on multi-machine communication technology, we can also let Muto complete multi-machine synchronous control and multi-machine navigation. Users can control it through APP, wireless handles, computer web pages, etc.
Power supply: 7.4V 9900mAH rechargeable battery pack (battery is already included in the delivery list)
Servo/motor: 35KG.CM serial bus servo (metal gear) * 18
Programming language: Python
Operating system: raspios-bookworm + Docker + ROS2_Foxy
Tutorials link: http://www.yahboom.net/study/Muto-RS
8. MicroROS-Pi5 Robot Car
The MicroROS-Pi5 ROS2 car consists of a Micro ROS robot expansion board with an onboard ESP32 coprocessor, 4PCS 310 encoder motors, high-quality tires, 7.4V 2000mAh rechargeable battery, MS200 lidar, 2MP camera, 2DOF gimbal and aluminum alloy frame. It uses the ROS2-HUMBLE development environment and Python3 programming, and uses OpenCV image processing and MediaPipe machine learning algorithms to achieve robot motion control, AI visual interaction, SLAM mapping navigation, RViz simulation, multi-machine synchronous control and other functions.Â
Power supply: 7.4V 2000mAH 2S lithium battery (the battery is already included in the shipping list)
Servos/Motors: YB-SG90 9G digital servos*2 (camera PTZ) + 310 metal motors with speed code disc*4Â
Programming language: Python
Operating system: raspios-bookworm + Docker + ROS2_Humble
Tutorials link: http://www.yahboom.net/study/MicroROS-Pi5
9. Raspberry Pi 4WD Car
This car is the cheapest compared to other Raspberry Pi series cars of Yahboom. What comes with it is that its lower chassis is made of aluminum alloy and its upper chassis is made of acrylic. The kit includes a multi-function expansion board compatible with four main control boards: Raspberry Pi, STM32, Arduino and 51MCU, as well as a large number of sensor modules. Most of the components are connected by screw copper pillars and anti-reverse sockets, which is convenient for beginners to learn. In addition, we are also equipped with Bluetooth modules and two free cameras, which can be used to view video images and control the movement of the car in real time through the mobile phone APP.
Power supply: 7.4V 2000mAH 2S lithium battery (battery is already included in the shipping list)
Servo/motor: YB-SG90 9G digital servo*2 (camera gimbal) + 310 metal motor with speed code disc*4
Programming language: Python, C language
Tutorials link: http://www.yahboom.net/study/4wd-Pi
10.ROSMASTER X3PLUS Car
ROSMASTER X3 PLUS supports a variety of different main control boards: Jetson Nano 4GB, Jetson Orin NX, Jetson Orin Nano and Raspberry Pi 5, to meet the computing performance needs of different users. Equipped with high-precision laser radar and depth camera for environmental perception and SLAM mapping navigation; integrated with 6-DOF robotic arm, suitable for complex grasping and operation tasks; equipped with 520 high-power motor and omnidirectional wheel design to achieve flexible and precise motion control; built-in voice recognition and interaction module, supports recognition and response of 80+ voice commands; and equipped with a 7-inch high-definition touch screen for real-time data monitoring and operation display.
Power supply: 12.6V 9600mAH lithium battery pack (battery is included in the shipping list)
Servos/Motors: 15KG serial bus intelligent servos (metal gears) *5 + 6KG serial bus intelligent servos (plastic gears) *1 + 520 metal motors with speed code disc *4
Programming language: Python
Operating system: raspios-bookworm + Docker + ROS_Melodic
Tutorials link: http://www.yahboom.net/study/ROSMASTER-X3-PLUS
Whether you are a beginner robot enthusiast or an experienced developer, the above 10 Raspberry Pi robot kits can provide you with rich functions and flexible development environment. The open source advantage of Raspberry Pi makes these kits not only highly scalable, but also help you improve your programming and robot development capabilities. Choose a robot kit that suits you and start your intelligent robot journey!