Educational Robotics Solutions
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01. Based on the integration of intelligent hardware and science and technology innovation education systems, this robot solution combines hands-on programming, algorithm training, and intelligent interaction. Leveraging a mature computing platform and robot development architecture, covering all scenarios of science and technology innovation enlightenment for teenagers, professional training in colleges and universities, and practical teaching of artificial intelligence. It can be used for both hands-on practice and theoretical teaching, helping students master core skills in robot development, intelligent perception, and autonomous control, and quickly build a systematic AI science and technology innovation teaching solution.
02. Currently, educational robots still face many challenges. The hardware cost is relatively high, the supporting curriculum system is incomplete and difficult to adapt to daily teaching; the shortage of professional teachers easily leads to idle equipment. In addition, regional resource imbalance, lack of industry standards, and serious product homogenization still pose significant obstacles to the overall large-scale popularization and application.
03. Yahboom provides a diversified robot product matrix for different customers and users of all ages, covering robotic arms, multi-legged bionic robots, building block robots, as well as various types of mobile chassis robots such as 2-wheel drive, self-balancing, 4-wheel drive, Ackermann steering, track, omnidirectional movement and composite robots, suitable for diverse learning, training, and application scenarios.
Educational Robot Verification Platform
Basic sensors + Motion control validation platform
Deeply rooted in the teaching of fundamental robot technologies, this platform integrates a full range of sensing components and precise motion execution units. It provides a solution for basic development training, including data acquisition, posture control, and chassis drive. Progressing from hardware principles to logic control, it rapidly completes practical verification of various basic motion projects, perfectly adapting to science and technology innovation enlightenment and introductory hands-on teaching, solidly building the core foundation for intelligent robot R&D.
Validation platform for SLAM and visual autonomous driving algorithms
Equipped with a native ROS full-stack development ecosystem, it deeply integrates core technologies such as machine vision perception, spatial positioning, dynamic obstacle avoidance, and autonomous driving. It supports rapid porting, debugging, and real-world testing of various intelligent algorithms, efficiently completing practical project development such as autonomous driving and visual navigation, precisely matching the needs of university professional teaching, academic competitions, and mid-range intelligent project development.
Validation platform for embodied intelligence based on large language model
Leveraging flagship-level powerful edge computing power, it deeply integrates multimodal large-scale model core capabilities, connecting the entire technology chain of environmental perception, semantic interaction, autonomous decision-making, and limb execution. It can efficiently conduct in-depth development of embodied intelligence and scenario-based application verification, supporting cutting-edge intelligent technology teaching and research innovation, and fully cultivating high-end artificial intelligence and intelligent robot compound professionals.