Sphero RVR+ classroom pack of 12
Sphero's most customizable programmable robot, built for middle and high school classrooms to tackle real-world challenges through code.
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Code It, Build It, Take It Further
The RVR+ is drivable right out of the box with no assembly needed, and scales from simple exploration to advanced custom builds with third-party hardware. Students progress from block-based coding to JavaScript or Python, applying real sensor data to challenges like autonomous vehicles, delivery bots, and geometry experiments. Compatible with Raspberry Pi, micro:bit, and littleBits, it serves as a flexible mobile platform for robotics, engineering, and data-driven projects across STEM and CTE pathways.
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Grade level
- Block-based coding in the Sphero Edu app for introductory programming
- Real sensor data applied to math and science concepts
- Programming and team challenges with guided lesson plans
- Text-based coding in JavaScript and Python via Sphero Public SDK
- Integration with Raspberry Pi, micro:bit, and littleBits for advanced builds
- Cross-curricular projects spanning CS, engineering, and data science
Features
- Dimensions: 7.24in (L) x 8.5in (W) x 4.5in (H)
- Ready to drive out of the box with no assembly required
- Supports block-based, JavaScript, and Python coding via Sphero Edu app and web app
- Built-in color sensor, light sensor, IR, gyroscope, and accelerometer
- Universal expansion port for third-party hardware integration
- Bluetooth and infrared communication
- Included Blueprint Plate for physical building and prototyping directly on the robot
- 2-hour playtime with swappable, rechargeable battery
- Standards-aligned lessons and resources on Sphero Central
Unlock the Possibilities
What's In The Box
- 1 RVR+ programmable robot
- Removable and rechargeable battery with key
- USB-A charging cable
- Mounting plate and Blueprint Plate
- Set of 5 color cards
Learning Outcomes
Coding Progression
Advancing from block-based to text-based programming in Python and JavaScript.
Data Thinking
Using real sensor data to build programs that interact with the environment.
Engineering Design
Prototyping and building on the robot using Blueprint Plate and modular add-ons.
AI Literacy
Developing understanding of algorithms, logic, and pattern recognition through coding.
Cross-Curricular Application
Connecting CS concepts to math, science, and engineering in real-world contexts.