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2024

· Based on the large AGV chassis, launch the composite navigation collaborative robot series NAVROBO.

· Based on 3D visual recognition technology, launch the first 3D visual recognition grabbing robotic arm DOFBOT-PRO.

· Based on microROS wireless transparent transmission technology, release the lightweight ROS2 system car microROS Robot and the handheld radar mapping device PALMSLAM.

· Jointly launched the collaborative robot arm JETCOBOT and the wheel-legged robot Rider-Pi.

2023

Launched RDK X3 intelligent robot, bionic quadruped, hexapod navigation robot and composite mobile grasping robot based on ROS2 and model training algorithm.

2022

Launched SLAM mapping and navigation educational robots with various forms such as differential four-wheel drive, Mecanum wheels, Ackerman structures and quadrupeds based on ROS deeply development.

2021

Develop ROS crawler educational robot based on ROS system.

2020

Designed 6DOF robotic arm with Al visual recognition function. And self-driving robot with neural networks and models trained function was launched based on Jetson NANO.

2019

An artificial intelligence visual recognition educational robot is launched based on Raspberry Pi and Jetson.

2018

Based on Micro:bit, we launched graphical programmable educational products such as smart car, building block kit, sensor kit.

2017

Launched FPV educational robot kit based on Arduino, 51, STM32 and Raspberry Pi.

2016

Basic electronic education products have been launched based on ARDUINO and STM32.

根据年份切换的图片
深圳亚博智能科技荣誉证书
机器人教育案例1
School-Enterprise Cooperation
The development of robotics education also needs to be closely integrated with industry needs. Cooperating with enterprises to conduct actual case studies and project cooperation can enable students to better understand the development trends and needs of the industry, so as to better adjust the educational content. In addition, conducting scientific research and innovation is also an important means to cultivate high-level robotics talents. Through scientific research projects, students can be trained to solve complex problems and enhance their competitiveness in the field of robotics technology. By establishing a sound talent training system, opening up fast and configurable teaching demos and robotics application courses, and closely integrating education with industry needs, we can better meet the market's demand for high-level talents and promote the further development and innovation of robotics technology.

机器人教育案例2
Job Requirements
As an open source robot operating system, ROS has been widely used around the world due to its openness and flexibility. The demand for talents proficient in ROS systems is also increasing rapidly.


机器人教育案例3
Future Trends
With the continuous development of science and technology, robotics has shown great potential and application prospects in various fields. From manufacturing to health care, from agriculture to daily life, the application scope of robots is becoming more and more extensive. In this era of booming robotics, the demand for related positions in robotics systems is also gradually increasing, which has brought urgent and important needs to the talent training system related to the robotics field.


机器人教育案例4
Talent Development
Against the background of the rapid development of robots, it is particularly urgent and important to cultivate talents that adapt to market demand. This requires starting from the education level and providing systematic training and education. Quickly built teaching demos and robot application courses have become one of the key solutions to this problem. By offering these courses, students can be quickly introduced to the basic principles and application methods of robot system architecture, helping them to establish a solid technical foundation. At the same time, these courses can also cultivate students' ability to solve practical problems through practical operations and project practices, so that they can be competent for various robot system-related positions in the future.

Cooperation cases
Customer sharing
合作案例 客户分享

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