Weixin Yang Ph.D. in Electrical Engineering

Serve as Review Editor for the Bio-Inspired Robotics section, overseeing and managing peer review of manuscript submissions

Developed two generations of mobile robots and continue improving the performance of the robots including motion ability and sensing ability. Develop multiple intelligent robotics systems to build an industrial 4.0 standard automatic system. Main technologies include real-time embedded systems, IoT and traditional control. Working with two teams on developing programs in C, C++ and Python for a mobile robot with a Lidar and a camera on board. Implemented QR code based, path planning, navigation, traffic and motion controller for AGV. Developed collision detection function allowing the robot to avoid the obstacles while moving with lidar. Two robotics application patents granted in 1 year.

I'm working in the Crystalaser as an electrical engineer, in charge of laser power system firmware, and control software development.

I'm a research assistant at the University of Nevada, Reno focuses on bio-inspired robotics design and control. I designed a customized snake robot and develop a control scheme for its path following. I am also involved in a UAV project, and develop a distributed controlled for UAV swarm formation. Many of my researches have been published in the top international robotics conference, and I won the best-paper final-list award in the IEEE International Conference on Advanced Intelligent Mechatronics 2019.

I was a mentor of bio-inspired soft robot summer project and in charge of 3 robotics projects, which are snake robot, fish robot, and jelly-fish robot. As a project mentor, I split a project into many parts and controller the process of each student group. Three student groups finished their project before the due date.

I was a teaching assistant of Circuit 1 at the University of Nevada, Reno, to help the professor to prepare quizzes and exams. I also gave recitation classes to over 200 students. Students send me letters of thanks at the end of the semester because I help them to improve their skills in circuit principle.

I developed an ice type recognition robot in SNOWLION, which is an ice-breaking machine manufacturer. The robot is able to detect five types of ice and send feedback to the control center through CNN based image recognition.

I taught Micro-Controller theory and application to 3 classes in two semesters. My students have the highest average score of the whole grade. I also guided students to participate in the electronic contest, won the provincial second prize.

I helped a senior engineer to test the performance of the Lidar sensor and collected data from UART and I2C ports in a 32bits micro-controller.