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北京博创尚和科技有限公司 Tech Stack

Educational robotics and lab automation for universities and research institutions

海淀, 北京 ~3 employees

北京博创尚和科技 develops robotics and automation solutions for higher education. The tech stack—STM32 microcontrollers, ROS, Gazebo, and SLAM algorithms—reflects a hardware-first, embedded-systems-heavy approach typical of robotics platforms. Active projects center on teaching robots and university lab construction, with ongoing work on laser-guided navigation and path-planning algorithms.

Tech Stack 15 technologies

Core StackJava Python Linux C++ STM32 CAN I2C UART Bluetooth Low Energy C/C++ Simulink Git ROS Gazebo RViz

What 北京博创尚和科技有限公司 Is Building

▲Active Projects

Lab construction business development in higher education
Robot teaching platform product
University lab construction
Teaching robot product development lifecycle
教学机器人开发
激光导航算法研发
Slam与路径规划改进

Hiring Activity

Minimal10 roles · 0 in 30d

Department

Sales

Engineering

Product

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Manager

Senior

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About 北京博创尚和科技有限公司

北京博创尚和科技 is a robotics and automation company serving higher education institutions and research organizations in China. The core offering spans educational robots, industrial automation, intelligent logistics systems, and 3D printing solutions. The company operates from Haidian, Beijing, with a lean team focused on product development (teaching robots) and business development in the university lab segment. Stack emphasis on embedded systems (STM32, CAN, I2C) and ROS-based navigation suggests a depth in low-level hardware integration and autonomous systems.

Headquarters海淀, 北京

Company Size~3 employees

Hiring MarketsChina

Frequently Asked Questions

What tech stack does 北京博创尚和科技 use?

STM32 microcontrollers, CAN/I2C/UART protocols, Bluetooth Low Energy, C/C++, Java, Python, Simulink, Linux, ROS, Gazebo, and RViz for robotics simulation and visualization.

What is 北京博创尚和科技 working on?

Teaching robot product development, university lab construction services, SLAM and path-planning algorithm improvements, and laser-guided navigation research for educational robotics platforms.