Yaoqiang Ou

Yaoqiang Ou

Application Engineer @ Mech-Mind Robotics

About

At Mech-Mind Robots, I began my journey as an Application Engineer, continuing to focus on 3D vision and robotics applications. At ITT Cannon, we honed our expertise in intelligent automation, utilizing Machine Vision to enhance assembly accuracy and product quality. Our commitment to innovation led to the optimization of automated assembly lines, demonstrating a keen ability to streamline manufacturing processes. Pursuing an MS in Intelligent Automation, my education at Universität Stuttgart equips me with advanced skills in MATLAB Simulink, Python, and TensorFlow, enriching my contributions to the engineering field. Our goal is to drive the evolution of manufacturing, blending academic insights with practical experience to push the boundaries of technology.

Country

Germany

City

Munich

Industry

Industrial Automation

Skill

Path Planning, Image Segmentation, 2D/3D Object Detection, 3D Vision, Artificial Intelligence (AI), Industrial Robotics, Collaborative Robotics, Internet Protocol Suite (TCP/IP), Robotics, Manufacturing Processes, Kaizen, Computer-Aided Design (CAD), Six Sigma, MATLAB Simulink, Python (Programming Language), TensorFlow, Deep Learning, Computer Vision, C++, Prototype Inspection

Experience

Mech-Mind Robotics

Application Engineer

Mech-Mind Robotics

LinkedIn
2025-6 - Present · 1 yr 4 mos

Germering

• Delivered industrial 3D vision and robotic automation solutions for manufacturing customers across Europe, primarily in the DACH region. • Specialized in computer vision, robotic application development, and solution deployment. • Conducted PoC validation, commissioning, and customer implementation activities from concept to production. • Implemented vision-guided robotic applications involving 2D/3D object detection, deep learning, and robot path planning. • Collaborated with OEMs, system integrators, and end users to deliver robust automation solutions.

ITT Cannon

Assistant Engineer in Manufacturing Engineering

ITT Cannon

LinkedIn
2024-3 - 2025-1 · 11 mos

Weinstadt, Baden-Württemberg, Deutschland

• Developed diverse recipes for various products using state-of-the-art assembly machines integrated with Machine Vision methods to enhance assembly accuracy and minimize tolerances, ensuring consistent product quality. • Actively participated in optimizing and enhancing paint equipment, tools, and devices within the automated assembly production line. • Assist Project Coordinator in promoting Lean Management and Six Sigma methods to optimize project management processes.

ITT Cannon

Assistant Test Engineer in Physical Test Lab

ITT Cannon

LinkedIn
2022-12 - 2024-2 · 1 yr 3 mos

Weinstadt, Baden-Württemberg, Deutschland

• Performed various tests on different connector types • Modified equipment for Ingress Protection testing (IPX9K) • Analyzed the sectional view of connectors using visual software • Prepared prototypes for development and certification

FYSAM Auto Decorative GmbH

Industrial Engineering Intern

FYSAM Auto Decorative GmbH

2021-2 - 2021-7 · 6 mos

Steinheim am Albuch, Baden-Württemberg, Deutschland

• Participated in the optimization and enhancement of bending, milling, and polishing equipment, tools, and devices used in the automated production line of roof rails and trims for VW and Audi

Education

University of Stuttgart

University of Stuttgart

LinkedIn

Intelligent automation in autonomous systems

2022-10 - 2025-5 · 2 yrs 8 mos

Project: Automated shuttle vehicle - Development and testing of lane keeping and adaptive cruise control algorithms with Tronis® and OpenCV - Implementation of steering and lateral control systems for autonomous vehicle navigation Laboratory: Control of a 3-DOF helicopter - Modelling, design and implementation of a control system for a 3-DOF helicopter using MATLAB and Simulink - Carrying out system analyses, parameter identification and successful autonomous control of the helicopter

Technische Hochschule Ulm

Technische Hochschule Ulm

LinkedIn

Construction and Development in Automotive Engineering

2019-10 - 2022-4 · 2 yrs 7 mos

Bachelor research: „ Pedestrian Intention Detection Using Deep Learning“, Grade: 1,0/1,0 Bachelor thesis: „ Investigations into neuromorphic structures with the aid of memristor circuits“, Grade: 1,1/1,0

Yaoqiang Ou's Contact Information

Email

******@***.com

Phone

(**) *** ****

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