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C++, ROS, Python, CMake, Git, Linux

Location:
San Jose, CA
Posted:
November 16, 2020

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Resume:

T: +669*******, Email: *******@*******.***

LinkedIn: linkedin.com/in/yuxiang-cao-ab6061189

GitHub: github.com/Taowyoo

SKILLS

Technical:

C++, ROS (Robot Operate System), Linux, Git, Python, OpenCV, Java, Qt, UML. Software & Tools:

Gerrit, Git, StarUML, Microsoft Office Suite (Word, PowerPoint, and Excel), Trello, Slack. Language:

English, Chinese.

EDUCATION

01/2020~Present Northeastern University CA, US

MS in Cyber-Physical Systems with a concentration in Internet of Things 09/2014~07/2018 Northwest A&F University Shaanxi, CN B.E in Computer Science and Technology in Engineering Course work:

09/2020~Present Course Project: Home IoT System

Design and develop two-tier IOT system, including the edge (Python, Java) and cloud.

The edge is composed of Python program running on Raspberry Pi with SenseHat as sensor and Java software running on PC as data gateway.

The sensor, gateway and cloud can transmit data through MQTT, COAP and HTTP, and the edge end gateway uses Redis as local storage.

The project implements CI / CD through GitHub action and Jenkins in planning. 04/2016~04/2018 University Student Science and Technology Innovation Project

Conduct an image pre-process software project aims to process and analyze thousands of big farmland photos (more than 10M pixels) to get farmland info to help agricultural research and farming.

Implemented the software by QT and OpenCV. On the premise of ensuring the image resolution, the software can stitch nearly 32 high-resolution remote sensing panoramic images of farmland together with in less than 2 minutes.

EXPERIENCE

02/2019~12/2019 RoboticPlus.AI Algorithm Engineer

Worked in a R&D team to develop an innovative modular robot product.

Collaborated with co-workers to design and improve the software of the robot arm which is programed with C++ in Linux and ROS (Robot Operate System).

Tested and compared different hand-eye calibration algorithms to help improve the accuracy of robot algorithm from about 1cm to less than 1 mm.

Debugged AGV vehicle navigation algorithm to find best parameter of DWA planner for different surface where little vehicle moved on.

Created some ROS-friendly drivers under Linux of some sensors such as point laser, line laser and industrial camera etc.

Drove in the design of robot integration plan and share own opinion to the whole robot product development from personal aspect.

07/2017~08/2017 Center for Space Utilization, Chinese Academy of Sciences Intern student

Studied an interactive force rendering technology of fluid and rigid body in virtual scene.

Developed a force rendering program based on SPH algorithm to preliminarily simulate the force of rigid sphere in the fluid and the fluid motion and made a demo for visualization. YUXIANG CAO



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