Junhui Ma

1. Two color channel is converted to a black/white image using VHDL code and used as input to the pattern recognition algorithm. 2. The algorithm is finally implemented at board level to infer the corresponding rectangular area from the coherent area in the image. 3. Also training of a Machine learning algorithm is implemented in python on the Pytroch platform, and the algorithm was tested and evaluated. The algorithm will be integrated into a co-design process with a hardware FPGA to speed up the process.

1. Two color channel is converted to a black/white image using VHDL code and used as input to the pattern recognition algorithm. 2. The algorithm is finally implemented at board level to infer the corresponding rectangular area from the coherent area in the image. 3. Also training of a Machine learning algorithm is implemented in python on the Pytroch platform, and the algorithm was tested and evaluated. The algorithm will be integrated into a co-design process with a hardware FPGA to speed up the process.

1.Design the appropriate printing path for UR 10e industrial robot using Matlab and python. Research the 3D Scanning methods and Programming UR robot code. 2.Based on the Iterative-Closest-Point (ICP) theory, developed an algorithm to merge the collected point clouds from the scanning results. 3.Implementation of cooperation between robotic arms in Matlab-Simulink in combination with points cloud.

1.Testing and approval of new website functions. 2.Data analysis of Web and social media and presentation of the result. 3.Cooperation in the marketing team in the organization of online marketing about social media strategy.

Published: LiDAR Based Multi-Robot Cooperation for the 3D Printing of Continuous Carbon Fiber Reinforced Composite Structures Nanya Li, Guido Link, Junhui Ma, John Jelonnek, 18th International Conference on Manufacturing Research, ICMR 2021 in Derby DOI : 10.3233/ATDE210024 completed Course of Specialization : Analog Circuit Design , Scientific Computing for Engineers, Systems and Software Engineering, Hardware Modeling and Simulation, Hardware/Software Co-Design,

Grade of bachelor thesis: 1.3 《 Compact Depth Camera Based Multi-Robot Control for 3D Microwave Printing》 Based on the additive manufacturing of continuous fiber-reinforced composites designed the appropriate printing path for UR 10e industrial robot. An installed LiDAR sensor on a UR 16e robot, the 3D scanning method for printed parts has been researched.