🤖 12 Best Robotics with Raspberry Pi Kits & Projects (2025)


Video: AiNex – ROS AI Educational Walking Humanoid Robot Raspberry Pi Competition Robot.







If you’ve ever dreamed of building your own robot, the Raspberry Pi is your ultimate sidekick. From beginner-friendly smart cars to AI-powered humanoids and even underwater drones, this tiny computer packs a punch that’s transforming robotics in 2025. At Robotic Coding™, we’ve tested over a dozen kits and custom projects to bring you the most comprehensive guide on robotics with Raspberry Pi — including expert tips, programming insights, and real-world reviews.

Did you know that the Raspberry Pi 4 can handle real-time AI vision tasks that once required bulky desktops? Imagine your robot recognizing faces, navigating obstacle courses, or even chatting with you via ChatGPT integration! Later in this article, we’ll reveal the top kits like the SunFounder PiCar-X and the Blue Robotics Navigator Flight Controller that unlock these futuristic capabilities. Whether you’re a beginner or a seasoned coder, this guide will spark your creativity and get your robot rolling.

Key Takeaways

  • Raspberry Pi 4 is the powerhouse behind most advanced robotics projects, offering speed and versatility.
  • Top kits like SunFounder PiCar-X and Freenove 4WD Smart Car provide excellent starting points for beginners and pros alike.
  • AI and vision integration (OpenCV, TensorFlow Lite) are now accessible on Raspberry Pi, enabling smart, autonomous robots.
  • Power management and sensor integration are critical for reliable robot performance.
  • Community support and open-source resources make learning and troubleshooting easier than ever.

👉 Shop top Raspberry Pi robotics kits:

Table of Contents

⚡️ Quick Tips and Facts About Robotics with Raspberry Pi

Welcome to the fascinating intersection of robotics and Raspberry Pi! At Robotic Coding™, we’ve been knee-deep in circuits and code, and here’s a quick cheat sheet to get you revved up:

  • ✅ Raspberry Pi 4 is the go-to model for most robotics projects due to its processing power and GPIO pin availability.
  • ✅ Python is the most popular programming language for Raspberry Pi robotics, thanks to its simplicity and rich libraries like RPi.GPIO and OpenCV.
  • ✅ Robotics kits like Freenove 4WD Smart Car and SunFounder PiCar-X come with sensors and cameras pre-integrated, making them beginner-friendly.
  • ✅ Ultrasonic sensors are your best friends for obstacle avoidance and mapping.
  • ✅ Lidar sensors paired with Raspberry Pi can create detailed indoor maps — GPS won’t cut it inside your house!
  • ✅ Power management is crucial: consider battery packs with sufficient mAh and voltage regulators to keep your Pi and motors happy.
  • ✅ Community support is massive — forums like the official Raspberry Pi Forums and GitHub repositories are treasure troves.

Curious how these tips translate into real-world projects? Stick around as we unpack everything from beginner kits to advanced flight controllers!

For a deep dive into microcontrollers, check out our Raspberry Pi Pico guide.

🤖 The Evolution of Raspberry Pi Robotics: From Hobbyist to High-Tech

The Raspberry Pi revolutionized DIY electronics by offering a low-cost, versatile computer that fits in your palm. Initially embraced by hobbyists for simple projects, it quickly became a powerhouse for robotics enthusiasts.

  • Early Days: Simple line-following robots and remote-controlled cars.
  • Mid Evolution: Integration of cameras, AI, and IoT capabilities.
  • Today: AI-powered humanoids, autonomous drones, and underwater ROVs powered by Raspberry Pi 4 and beyond.

Our team recalls the thrill of assembling a Pi-powered rover with basic ultrasonic sensors — it was like giving life to a box of wires! Now, with AI integrations like ChatGPT on kits such as the SunFounder PiCar-X, the possibilities are mind-blowing.

Want to see how far you can push Raspberry Pi robotics? Keep reading!

🔧 Essential Raspberry Pi Models and Accessories for Robotics Projects

Not all Raspberry Pis are created equal when it comes to robotics. Here’s what you need to know:

Model CPU Speed RAM Options GPIO Pins Best For Notes
Raspberry Pi 4 1.5 GHz 2GB-8GB 40 Advanced robotics, AI, vision Most powerful, supports USB 3.0
Raspberry Pi 3B+ 1.4 GHz 1GB 40 Mid-level robotics, sensors Good balance of power and price
Raspberry Pi Zero W 1 GHz 512MB 40 Lightweight, low-power projects Limited RAM, but great for compact bots
Raspberry Pi 400 1.8 GHz 4GB 40 Desktop-style robotics dev Built-in keyboard, less portable

Accessories to consider:

  • Camera Modules: Official Raspberry Pi Camera v2 or HQ Camera for vision-based projects.
  • Motor Drivers: L298N or DRV8833 for controlling motors.
  • Power Supplies: 5V 3A USB-C power adapters or battery packs with voltage regulation.
  • Sensors: Ultrasonic HC-SR04, IR sensors, Lidar units like RPLidar A1.
  • Expansion Boards: Blue Robotics Navigator Flight Controller (more on this later).

Our engineers swear by the Pi 4 for its multitasking and video processing capabilities — a must for AI-driven robots!

🛠️ Top 12 Raspberry Pi Robotics Kits and Platforms Reviewed

Ready to build your dream robot? We’ve tested and rated the top kits to help you pick the perfect match.

1. SunFounder PiCar-X: The Ultimate Smart Car Experience

Aspect Rating (1-10)
Design 9
Functionality 9
Ease of Assembly 8
Programming 9
Value 7

Features:

  • AI-powered video robot with face and sign detection.
  • Compatible with Raspberry Pi 5, 4, 3B+, 3B, and Zero W.
  • Ultrasonic obstacle avoidance and grayscale line tracking.
  • ChatGPT integration for voice control and visual recognition.

Why we love it:
The PiCar-X is like the Tesla of Raspberry Pi cars — sleek, smart, and packed with sensors. Assembly is straightforward with a detailed color-coded guide. The AI features are impressive, especially the ChatGPT voice commands, which add a futuristic flair.

Drawbacks:
The price is a bit higher than average, but you get premium materials and a robust build. Beginners might find the AI features a bit overwhelming at first.

Pro Tip: Pair it with the official Raspberry Pi Camera Module v2 for best video quality.

👉 CHECK PRICE on:

2. Freenove 4WD Smart Car: Power and Precision on Wheels

Aspect Rating (1-10)
Design 8
Functionality 9
Ease of Assembly 9
Programming 8
Value 10

Features:

  • 8MP camera with face tracking.
  • Infrared sensors for line tracking.
  • Ultrasonic obstacle avoidance.
  • Controllable RGB LEDs.

Why we love it:
This kit is a beginner’s dream — fast assembly, intuitive app control, and a smooth learning curve from app-based control to Python programming. The 4WD system gives it excellent traction and maneuverability.

Drawbacks:
Requires two Lithium batteries (not included), so factor that into your setup.

User Story: One of our coders built this kit in under two hours and was controlling it via Python scripts by day two — talk about a confidence boost!

👉 CHECK PRICE on:

3. SunFounder PiDog: Your Robotic Canine Companion

Aspect Rating (1-10)
Design 9
Functionality 9
Ease of Assembly 7
Programming 9
Value 7

Features:

  • Touch module, sound direction sensor, audio speaker, LEDs.
  • ChatGPT AI integration for voice and visual recognition.
  • Aluminum chassis for durability.

Why we love it:
The PiDog is a step up in complexity — perfect for those who want a robot with personality and advanced sensors. The aluminum build feels premium, and the AI features are genuinely impressive.

Drawbacks:
Assembly is more involved, so it’s not ideal for absolute beginners. The price reflects the premium materials and included battery/tools.

Pro Tip: Use the Python SDK provided by SunFounder to experiment with AI features.

👉 CHECK PRICE on:

4. Yahboom G1 Smart Tank: Rugged Robotics with Raspberry Pi

Aspect Rating (1-10)
Design 8
Functionality 9
Ease of Assembly 6
Programming 8
Value 7

Features:

  • 180° rotatable camera.
  • AI vision processing.
  • Line tracking and obstacle avoidance.
  • Expansion-friendly aluminum chassis.

Why we love it:
The G1 Smart Tank feels like a professional-grade robot — it’s rugged, expandable, and compatible with Arduino and STM32 boards. Great for those who want to tinker beyond Raspberry Pi.

Drawbacks:
Assembly is tougher, and it’s only compatible with Raspberry Pi 4B/3B+. Beginners might find the learning curve steep.

User Insight: One of our engineers uses the G1 for outdoor terrain mapping — its tank treads handle rough surfaces like a champ.

👉 CHECK PRICE on:

5. mBot Ultimate: Modular Robotics for Creative Minds

Aspect Rating (1-10)
Design 9
Functionality 10
Ease of Assembly 7
Programming 9
Value 8

Features:

  • Over 160 parts, 10 different robot configurations.
  • Compatible with Raspberry Pi, Arduino, and LEGO bricks.
  • App control and mBlock software for coding.

Why we love it:
mBot Ultimate is a playground for creativity. If you want to build multiple robots and learn programming deeply, this kit is a treasure chest. The modular design means you’re never bored.

Drawbacks:
Assembly can be time-consuming, and battery life is limited (requires 6x AA batteries).

Pro Tip: Use the mBlock software to transition from block coding to Python seamlessly.

👉 CHECK PRICE on:

6. CamJam Edukit 3: Educational Robotics Made Simple

Aspect Rating (1-10)
Design 6
Functionality 6
Ease of Assembly 9
Programming 7
Value 10

Features:

  • Ultrasonic and line follower sensors.
  • Two wheels and a ball castor.
  • No chassis included (DIY-friendly).

Why we love it:
If you’re on a budget or want a barebones introduction to robotics, this kit is perfect. It’s simple, cheap, and great for learning sensor basics.

Drawbacks:
No chassis means you’ll need to get creative with mounting. Limited features compared to other kits.

User Story: One of our interns built this kit using a shoebox as a chassis — it was a fun and educational challenge!

👉 CHECK PRICE on:

7. Freenove Three-Wheeled Smart Car: Agile and Efficient

Aspect Rating (1-10)
Design 7
Functionality 7
Ease of Assembly 9
Programming 8
Value 9

Features:

  • Camera and ultrasonic obstacle avoidance.
  • Buzzer and RGB LED.
  • Python controllable over network.

Why we love it:
A leaner sibling to the 4WD model, this car is nimble and budget-friendly. Great for quick builds and network-controlled robotics experiments.

Drawbacks:
Fewer sensors and features than the 4WD version.

👉 CHECK PRICE on:

8. Freenove Robot Dog: The Future of Playful Robotics

Aspect Rating (1-10)
Design 8
Functionality 8
Ease of Assembly 7
Programming 8
Value 8

Features:

  • Ultrasonic module, LED module, buzzer.
  • Movements include ball tracking and face recognition.
  • Smartphone control and Python programming.

Why we love it:
This is a fun and futuristic kit that brings robotics to life with playful AI features. The dog’s responsiveness and tracking abilities impressed our team.

Drawbacks:
Batteries not included; assembly requires patience.

User Insight: One of our engineers said, “After 3 seconds, I was ready to buy one!” — that’s a glowing endorsement.

👉 CHECK PRICE on:

9. TonyPi Humanoid Robot: Bringing AI to Life

Aspect Rating (1-10)
Design 9
Functionality 10
Ease of Assembly 6
Programming 9
Value 7

Features:

  • AI vision recognition (object, color, facial, QR code).
  • Bipedal walking, bending, object manipulation.
  • Python/OpenCV programming, visual block coding, mobile app control.

Why we love it:
TonyPi is a lab-grade humanoid robot now accessible to enthusiasts. It’s a marvel of engineering and AI integration, perfect for those who want to push boundaries.

Drawbacks:
Not beginner-friendly; requires solid programming skills.

👉 CHECK PRICE on:

10. Adeept RaspTank: Tank Robotics with Raspberry Pi Power

Aspect Rating (1-10)
Design 8
Functionality 8
Ease of Assembly 8
Programming 8
Value 9

Features:

  • 4-DOF robotic arm.
  • Object recognition and tracking with OpenCV.
  • Real-time video camera, line tracking, motion detection.

Why we love it:
The RaspTank combines mobility and manipulation — perfect for robotics enthusiasts who want a tank chassis with a robotic arm. It’s versatile and affordable.

Drawbacks:
Limited battery life; requires some programming experience.

👉 CHECK PRICE on:

11. Navigator Flight Controller for Raspberry Pi: Robotics in the Air and Sea

Aspect Rating (1-10)
Design 9
Functionality 10
Ease of Assembly 7
Programming 9
Value 8

Features:

  • Turns Raspberry Pi 4 into a flight controller for ROVs, drones, and ground vehicles.
  • 6-axis IMU, dual magnetometers, barometer, leak detection.
  • 16 servo PWM outputs, RC receiver input.
  • BlueOS 1.0 with autopilot and video streaming.
  • Expansion ports for serial, I2C, ADC, and LEDs.

Why we love it:
This board is a game-changer for advanced robotics — enabling aerial, underwater, and terrestrial robots with professional-grade sensors and control. The open-source design and BlueOS software make it flexible and powerful.

Drawbacks:
Requires solid knowledge of robotics and Linux; assembly and setup can be complex.

👉 CHECK PRICE on:

12. Custom DIY Robotics Projects with Raspberry Pi: Tips and Tricks

Feeling inspired to build your own robot from scratch? Here’s how to get started:

  • Plan Your Robot’s Purpose: Mapping, obstacle avoidance, humanoid, or drone?
  • Choose Your Pi Model: Pi 4 for power, Pi Zero for compactness.
  • Select Sensors: Ultrasonic for distance, Lidar for mapping, cameras for vision.
  • Motor Drivers: Pick based on motor specs (voltage/current).
  • Power Supply: Batteries with voltage regulation and capacity for your motors and Pi.
  • Programming Environment: Python with libraries like RPi.GPIO, OpenCV, and TensorFlow Lite for AI.
  • Build Incrementally: Start with basic movement, then add sensors and AI.
  • Test and Troubleshoot: Use logs, LEDs, and serial output to debug.

Our team’s favorite hack? Using a Raspberry Pi camera with OpenCV to create a simple line-following robot that can also detect stop signs — a mini self-driving car!

For detailed coding tutorials, visit our Robotics Education section.

💡 Programming Raspberry Pi for Robotics: Languages, Libraries, and Frameworks

Programming is the soul of your robot. Here’s what we recommend:

  • Python: The king of Raspberry Pi robotics. Libraries:

    • RPi.GPIO for pin control.
    • gpiozero for simplified hardware interaction.
    • OpenCV for computer vision.
    • TensorFlow Lite for AI on edge.

  • C/C++: For performance-critical tasks; used with wiringPi or pigpio libraries.

  • Scratch: Great for beginners and educational purposes.

  • ROS (Robot Operating System): For advanced robotics, supports Raspberry Pi but requires Linux proficiency.

Tips from the trenches:

  • Start with simple scripts to blink LEDs and control motors.
  • Use virtual environments to manage Python dependencies.
  • Leverage GitHub repositories for code examples and community projects.

Explore more in our Coding Languages category.

📡 Integrating Sensors and Actuators: Making Your Robot Smarter

Sensors and actuators are your robot’s senses and muscles. Here’s how to integrate them effectively:

  • Ultrasonic Sensors (HC-SR04): Measure distance for obstacle avoidance.
  • Infrared Sensors: Line tracking and proximity detection.
  • Lidar: For detailed mapping and navigation.
  • Cameras: Vision processing with OpenCV.
  • Servos and DC Motors: Movement and articulation.
  • Robotic Arms: Controlled via PWM signals for precise manipulation.

Integration Tips:

  • Use level shifters if sensor voltage differs from Pi’s 3.3V logic.
  • Test sensors individually before integrating.
  • Use I2C or SPI buses for multiple sensors to reduce GPIO usage.

Our engineers recommend starting with ultrasonic sensors and a camera module — a combo that unlocks obstacle avoidance and basic vision.

⚙️ Robotics Power Management and Connectivity with Raspberry Pi

Powering your robot reliably is critical:

  • Power Sources: LiPo or Li-ion battery packs with appropriate voltage (usually 7.4V or 11.1V).
  • Voltage Regulators: Step down to 5V for Raspberry Pi and 3.3V for sensors.
  • Power Distribution Boards: Simplify wiring and protect components.
  • Battery Management Systems (BMS): Prevent overcharge and deep discharge.

Connectivity:

  • Wi-Fi and Bluetooth for remote control and telemetry.
  • Ethernet for stable, high-speed connections.
  • Serial/UART for sensor and actuator communication.

Our team’s golden rule: never power motors directly from the Pi — always use separate power lines with common ground.

🧰 Troubleshooting Common Raspberry Pi Robotics Challenges

Robotics can be tricky! Here are common pitfalls and fixes:

  • Pi Won’t Boot: Check power supply and SD card integrity.
  • GPIO Pins Not Responding: Verify wiring and pin numbering (BCM vs. BOARD).
  • Motors Not Running: Confirm motor driver connections and power supply.
  • Sensor Data Erratic: Check sensor orientation and wiring; add pull-up resistors if needed.
  • Overheating: Use heatsinks or fans, especially with Pi 4 in enclosed cases.
  • Software Errors: Use verbose logging and test modules independently.

Our engineers swear by a multimeter and a logic analyzer for diagnosing hardware issues.

🌐 Raspberry Pi Robotics Community and Online Resources

You’re not alone! Join these vibrant communities:

Our team often collaborates on GitHub and shares projects on Hackster.io — it’s a fantastic way to learn and contribute.

📚 Raspberry Pi Robotics Glossary: Speak Like a Pro

  • GPIO (General Purpose Input/Output): Pins on the Pi used to connect sensors and actuators.
  • PWM (Pulse Width Modulation): Technique to control motor speed or LED brightness.
  • Lidar: Laser-based sensor for distance measurement and mapping.
  • IMU (Inertial Measurement Unit): Sensor combining accelerometers and gyroscopes for orientation.
  • OpenCV: Open-source computer vision library.
  • ROS (Robot Operating System): Middleware for robot software development.
  • BMS (Battery Management System): Protects and manages battery health.

Master these terms and you’re halfway to being a robotics guru!

🎯 Closing Thoughts: Why Raspberry Pi is a Game-Changer for Robotics

Raspberry Pi has democratized robotics like no other platform. Its affordable price, powerful hardware, and vast community make it the perfect choice for learners and pros alike. Whether you want to build a smart car, a humanoid, or an underwater drone, the Pi adapts and grows with your skills.

At Robotic Coding™, we’ve seen beginners transform into confident coders and engineers by starting with Raspberry Pi robotics. The journey is challenging but incredibly rewarding — and with AI and IoT integrations becoming easier, the future is bright.

Ready to start your own robotics adventure? The tools and community are waiting!

❓ Frequently Asked Questions About Robotics with Raspberry Pi

Q1: Which Raspberry Pi model is best for robotics?
A: Raspberry Pi 4 is generally the best due to its processing power and RAM options.

Q2: Can beginners build a robot with Raspberry Pi?
A: Absolutely! Kits like Freenove 4WD Smart Car and CamJam Edukit 3 are beginner-friendly.

Q3: What programming languages should I learn?
A: Python is the most popular and beginner-friendly. C++ and ROS are for advanced users.

Q4: How do I power my Raspberry Pi robot?
A: Use a regulated battery pack with sufficient capacity and separate power lines for motors.

Q5: Can Raspberry Pi robots use AI?
A: Yes! With libraries like TensorFlow Lite and OpenCV, AI features like object recognition are possible.

For more FAQs, visit our Robotics Education section.

Ready to take your Raspberry Pi robotics skills to the next level? Dive into our tutorials and community projects at Robotic Coding™! 🚀

Conclusion

After exploring the vast landscape of robotics with Raspberry Pi, it’s clear why this platform has become a cornerstone for hobbyists, educators, and professionals alike. From beginner-friendly kits like the Freenove 4WD Smart Car, which offers an excellent balance of features and ease of use, to advanced marvels like the TonyPi Humanoid Robot and Blue Robotics Navigator Flight Controller, the ecosystem caters to every skill level and ambition.

Positives across the board include:

  • Versatility and expandability of Raspberry Pi hardware.
  • Rich sensor integration enabling AI, vision, and autonomous navigation.
  • Strong community support and abundant learning resources.
  • Affordable entry points with kits like CamJam Edukit 3 and Freenove models.

Challenges and drawbacks:

  • Some kits have a steep learning curve, especially those with AI and advanced sensors.
  • Power management requires careful planning to avoid performance issues.
  • Assembly complexity varies widely; beginners should start with simpler kits.

Our confident recommendation? If you’re just starting, grab the Freenove 4WD Smart Car for a smooth introduction. For those hungry for creativity and complexity, the mBot Ultimate or SunFounder PiDog offer rich learning experiences. And if you’re ready to explore aerial or underwater robotics, the Blue Robotics Navigator Flight Controller is a professional-grade choice that transforms your Raspberry Pi 4 into a multi-vehicle controller.

Remember the question we teased earlier — how to build a robot that maps your home and navigates rooms? With the right sensors (Lidar, ultrasonic), software (OpenCV, ROS), and a Raspberry Pi 4, this is entirely achievable. The community forums and open-source projects are your best allies on this journey.

So, ready to bring your robotic dreams to life? The tools, kits, and knowledge are at your fingertips — just plug in, code up, and let your robot roll!

Books for deeper learning:

  • “Programming the Raspberry Pi: Getting Started with Python” by Simon Monk — a great primer on Pi programming.
  • “Learning Robotics Using Python” by Lentin Joseph — perfect for diving into robotics concepts with Python.
  • “Make: Raspberry Pi and AVR Projects” by Mike Cook — hands-on projects combining Pi and microcontrollers.

❓ Frequently Asked Questions About Robotics with Raspberry Pi

What are the best robotics projects to build with Raspberry Pi?

Great question! Beginners often start with line-following robots, obstacle-avoidance cars, or camera-based surveillance bots. Intermediate projects include robotic arms, home mapping robots using Lidar, or voice-controlled assistants. Advanced users push into humanoids, drones, and autonomous underwater vehicles. The key is to match the project complexity with your skills and expand gradually.

How do I get started with robotics using Raspberry Pi and Python?

Start by learning Python basics and GPIO pin control. Use simple kits like the Freenove 4WD Smart Car or CamJam Edukit 3 to practice wiring and programming. Experiment with sensor data reading and motor control. Gradually integrate libraries like OpenCV for vision and TensorFlow Lite for AI. Online tutorials and community forums are invaluable for guidance.

What are the key components of a Raspberry Pi robotics kit?

Typically, a kit includes:

  • Raspberry Pi-compatible chassis or frame.
  • Motors (DC or servo) and motor drivers.
  • Sensors (ultrasonic, infrared, camera).
  • Power supply or battery pack.
  • Wiring and connectors.
  • Programming guides or software.

Some kits add advanced components like robotic arms, AI modules, or flight controllers.

Can I use Raspberry Pi to control a robotic arm or gripper?

Absolutely! Raspberry Pi’s GPIO pins can send PWM signals to servo motors controlling robotic arms or grippers. Kits like the Adeept RaspTank include 4-DOF arms. Programming libraries like gpiozero simplify servo control, and OpenCV can provide vision feedback for object manipulation.

How do I program a Raspberry Pi robot to navigate obstacle courses?

Use sensors like ultrasonic and infrared to detect obstacles. Program the Pi to read sensor data continuously and make decisions (stop, turn, reverse). Implement algorithms like line following or wall following. For advanced navigation, integrate Lidar and SLAM (Simultaneous Localization and Mapping) using ROS or OpenCV.

  • RPi.GPIO and gpiozero for hardware control.
  • OpenCV for computer vision.
  • TensorFlow Lite for AI inference on edge devices.
  • ROS (Robot Operating System) for complex robot software architecture.
  • Pygame for creating graphical interfaces and simulations.

What are the limitations and challenges of building robots with Raspberry Pi?

  • Processing Power: While powerful, Pi can struggle with real-time control compared to microcontrollers.
  • Power Management: Motors and sensors require careful power planning to avoid resets or damage.
  • Learning Curve: Advanced robotics require knowledge of Linux, Python, electronics, and sometimes C++.
  • Physical Constraints: Size, weight, and battery life can limit robot design.
  • Environmental Factors: Sensors like ultrasonic and IR can be affected by ambient conditions.

At Robotic Coding™, we’re excited to see what you build next. Happy coding and happy building! 🤖🚀

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Trending now

[2023] 15 Exciting Robotics Courses for High School Students
Best Programming Language for Robotics in 2024
What Coding Language Is Used in Robotics in [2023]?
Featured image for Top 10 Robotics Coding Languages You Must Know 2025
🤖 Top 10 Robotics Coding Languages You Must Know (2025)