Petoi Nybble

Name: Petoi Nybble
Brand: Petoi

Open-Source Robotic Cat for STEM Education

$199 – $319

Petoi Nybble is an affordable, open-source quadruped robotic cat designed for education, research, and hobbyist programming. Built on Arduino and Raspberry Pi platforms, it offers dynamic motion capabilities including walking, running, jumping, and self-balancing. The robot serves as a hands-on learning tool for coding, robotics, and AI, targeting students, educators, makers, and developers interested in biomimetic robotics.

Released: 2018

Overview

Petoi Nybble represents a breakthrough in accessible robotics education, combining sophisticated quadruped locomotion with an open-source platform that makes advanced robotics concepts approachable for learners at all levels. As one of the world's smallest and most affordable programmable robotic cats, Nybble brings biomimetic movement to desktop-scale robotics, featuring cat-like agility including walking, trotting, running, and even performing tricks.

Built on a modular architecture using Arduino-compatible boards and supporting Raspberry Pi integration, Nybble offers unprecedented flexibility for educational and research applications. The robot's laser-cut frame and 11 degrees of freedom powered by servo motors create surprisingly lifelike movements, while its open-source nature allows users to modify both hardware and software to suit their learning objectives.

Designed by Rongzhong Li and launched through a successful Kickstarter campaign, Nybble has become a popular platform in STEM education, maker spaces, and university robotics programs worldwide. Its combination of affordability, extensibility, and engaging cat-like personality makes complex robotics concepts tangible and fun for students, hobbyists, and researchers alike.

Key Features

11 Degrees of Freedom: Multi-joint articulation enabling realistic quadruped locomotion and dynamic movements
Open-Source Platform: Full access to software, hardware designs, and APIs for customization and learning
Arduino & Raspberry Pi Compatible: Supports both Arduino-based NyBoard and Raspberry Pi for advanced computing
Pre-programmed Gaits: Built-in walking, trotting, running, and trick behaviors with customizable motion sequences
Modular Design: Laser-cut frame with easy assembly and component swapping for modifications
Multiple Sensors: Integrated IMU for balance, plus support for infrared, ultrasonic, and camera modules
Mobile App Control: iOS and Android apps for wireless control and programming
Educational Curriculum: Comprehensive tutorials, coding examples, and STEM learning materials included

Applications

Nybble excels in educational environments where hands-on robotics learning is essential. Schools, universities, and coding bootcamps use Nybble to teach programming fundamentals, inverse kinematics, gait planning, and sensor integration. Its engaging form factor and lifelike movements capture student interest while demonstrating complex concepts in embedded systems, control theory, and biomimetic engineering. Maker spaces and STEM programs leverage Nybble for robotics competitions, project-based learning, and collaborative development.

Beyond formal education, Nybble serves researchers exploring quadruped locomotion, hobbyists building custom robotic platforms, and developers prototyping AI and machine learning applications. The robot's extensibility makes it suitable for testing computer vision algorithms, reinforcement learning experiments, and IoT integrations. Its compact size and affordability also make it ideal for home learning, enabling aspiring roboticists to gain practical experience without industrial-scale equipment or budgets.

Technical Highlights

Nybble's technical sophistication lies in its efficient gait engine and inverse kinematics solver, which enable fluid quadruped motion despite its small form factor and limited computational resources. The custom NyBoard controller, based on Arduino architecture, manages 11 servo motors in real-time while processing IMU data for dynamic balance adjustments. The motion control algorithms are optimized for energy efficiency, allowing approximately 30 minutes of active runtime on a compact battery.

The robot's software stack includes a skill library system where behaviors are stored as compact motion sequences, enabling complex movements without excessive memory consumption. ROS integration support allows advanced users to incorporate Nybble into larger robotic systems, while the Python and C++ APIs facilitate custom application development. The addition of Raspberry Pi support transforms Nybble into a capable AI platform, enabling onboard computer vision, voice control, and autonomous navigation experiments. This combination of hardware efficiency and software flexibility makes Nybble a remarkable achievement in affordable educational robotics.