DFRobot Introduces Interactive AI and Robotics Education Solutions at Bett 2026
DFRobot's Groundbreaking Innovations at Bett 2026
At the grand opening of BETT 2026 today, DFRobot, a leader in AI-powered STEM education solutions, takes center stage with a diverse range of interactive AI and robotics learning experiences at Stand SM23 in London's ExCeL Centre. This exhibition emphasizes that artificial intelligence is not only accessible but can significantly enhance learning for students at every educational level.
Key Features of DFRobot's Exhibit
One of the standout projects presented is a vision-based autonomous driving initiative that employs the Maqueen Plus V3 robot combined with the HuskyLens 2 AI vision sensor. This project moves beyond basic line-following capabilities to enable the robot to make real-time driving decisions, such as obstacle avoidance and route planning, based solely on its environmental perception. This offers students an insightful view into the decision-making process inherent in autonomous systems.
HuskyLens 2 AI Vision Sensor
A pivotal element of DFRobot's offerings, the HuskyLens 2 Trainable AI Vision Sensor, showcases its exceptional adaptability for educational settings from primary to secondary schools. Equipped with a robust 1.6GHz dual-core processor and a 6 TOPS AI accelerator, it allows rapid on-device processing utilizing over 20 built-in algorithms or customized training models. The sensor maintains compatibility with various primary controllers, facilitating smooth integration into educational curricula.
Gesture-Controlled Angry Birds
Another engaging project utilizes HuskyLens 2's gesture recognition to develop a gesture-controlled version of the popular game Angry Birds. By integrating microbit technology and block-based programming in MindPlus, students can engage with coding in a manner that is both interactive and devoid of screen usage, promoting a more hands-on coding experience.
Pose Recognition Robot
In an innovative demonstration of real-time interaction between AI vision and robotic movements, the Pose Recognition Robot project employs the HuskyLens 2 for human pose recognition. Using a microbit, the robot is programmed to mimic a visitor's arm movements instantly, creating a captivating learning environment.
Smart Animal Recognition Feeder
Showcasing practical AI applications, the Smart Animal Recognition Feeder project involves the HuskyLens 2, which has been custom-trained to recognize various pets like cats and dogs. This project illustrates how AI can be used to trigger actions, such as operating a smart feeder, enhancing understanding of technology's real-world applications.
Night Vision Wildlife Observation
Targeting middle and high school students, this project pushes the boundaries of AI deployment in challenging real-world environments. Utilizing a night vision lens, the HuskyLens 2 can detect and recognize animals in total darkness, demonstrating AI's capabilities in overcoming real-life challenges like poor lighting conditions.
BOSON Zone: Engaging Young Learners
Within the BOSON zone, DFRobot takes a hands-on approach to teach AI literacy, allowing even the youngest learners to engage with AI detection and machine learning concepts without needing to code. Through playful exploration of the BOSON AI Vision Sensor, students learn about the functionalities of AI and its applications in an intuitive manner, paving the way for deeper programming knowledge later on through microbit and MakeCode.
DFRobot's Stand SM23 promises to be a vibrant hub for educators eager to incorporate practical experiences in AI and robotics into their teaching methodologies. The exhibits, aimed at fostering a dynamic and engaging educational atmosphere, will be available for exploration from January 21 to 23 at Bett 2026. This event marks a significant step forward in making STEM education more interactive and approachable for students of all ages.