AI-powered STEM education provider DFRobot unveiled a comprehensive portfolio of hands-on AI and robotics learning solutions at Bett 2026, held at London’s ExCeL Centre. Exhibiting at Stand SM23, the company demonstrated how artificial intelligence can be transformed from an abstract concept into a tangible, engaging classroom experience for K–12 learners across grade levels.
Making AI Tangible for K–12 Education
As global education systems increasingly prioritize AI literacy, DFRobot’s showcase addressed a critical challenge—bridging theory with real-world application. Through interactive robotics, vision-based systems, and age-appropriate learning platforms, the company highlighted how students can grasp core AI concepts such as perception, decision-making, and machine learning through experiential learning.
Hands-On Autonomous Driving: From Perception to Decision
A key attraction at the DFRobot stand was a vision-based autonomous driving project built on the Maqueen Plus V3 robot and HuskyLens 2 AI vision sensor. Unlike traditional line-following robots, the system enables autonomous decision-making based entirely on visual input, including obstacle avoidance and route planning. The project illustrates the complete AI pipeline—from sensing and perception to action—within an accessible educational framework.
Operational Details: HuskyLens 2 and Interactive AI Projects
The HuskyLens 2 Trainable AI Vision Sensor was presented as a core classroom AI camera suitable for primary through secondary education. Powered by a 1.6GHz dual-core processor and a 6 TOPS AI accelerator, the sensor supports over 20 built-in algorithms as well as custom-trained models, enabling fast, on-device processing without reliance on cloud infrastructure.
DFRobot also showcased multiple application-based learning projects, including:
- Gesture-Controlled Angry Birds, where students use hand gestures to control gameplay via micro:bit and block-based programming in MindPlus.
- Pose Recognition Robot, demonstrating real-time human pose recognition with robotic motion mirroring.
- Smart Animal Recognition Feeder, simulating real-world AI deployment using custom-trained models on HuskyLens 2 paired with the UNIHIKER K10 AI coding board.
- Night Vision Wildlife Observation, highlighting AI model deployment under low-light and no-light conditions for middle and high school learners.
BOSON Zone: Bridging Real-World Context to AI Literacy
In the BOSON Zone, DFRobot introduced the BOSON AI Vision Sensor, designed to provide an intuitive entry point into AI concepts for younger students. With no coding required, learners interact directly with physical objects to understand how AI detects, classifies, and learns. The experience seamlessly transitions into structured programming using micro:bit and MakeCode, linking exploratory play with formal computational thinking.
Strategic Significance for Educators
DFRobot’s presence at Bett 2026 positions the company as a key enabler of practical AI education. By aligning curriculum-ready tools with real-world AI applications, the showcased solutions support educators in integrating robotics and AI literacy into classrooms without increasing instructional complexity.
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