I appreciate for your attention, my name is Lee, Jen-Yu (李仁祐), I have a great passion about Robotics and Deep Reinforcement Learning, such like machine vision, robotic localization, even developing an hybrid controller, which combined between conventional controller and neural network, for compensating the shortcomings of them each other is attracted me as well. And there are some topics shown below which I've done before. If we have the same philosophy, welcome to DM me.Research Project Experience*** Agriculture Autonomous Vehicles under Prof. Ken-Yuh Hsu (許根⽟) and Prof. Shean-Jen Chen (陳顯禎), NCTU 2019/9 - Present *** - Implemented SLAM system via RGB-D camera to construct 3D model of the environments and do self positioning. - Implemented pest detection and positioning system by integrating RGB-D image and YOLO neural network. - Developed a deep reinforcement learning control system via deep deterministic policy gradient (DDPG) to achieve automatic obstacle avoidance. - Integrated MATLAB Simulink, C/C++ and Python all together into ROS framework and built up the robotic process. - Conducted obstacle avoidance simulation on Turtlebot3 in Gazebo under ROS. - Achieved automatic obstacle avoidance in a real agriculture field with a lab-made agriculture vehicle. - The results were reported by Common Wealth Magazine's Smile Taiwan (天下雜誌《微笑臺灣》) in 2020/12.*** Miniature Wavefront Sensing in IoT Devices under Prof. Shean-Jen Chen (陳顯禎), NCTU 2019/9 - 2020/9 *** - Upgraded the wavefront computation to achievement real-time measurement in shack-hartmann wavefront sensor. - Integrated a heterogeneous network with PCs, embedded systems, controller boards, and optical systems. - The results were presented in the Taiwan Automation Intelligence and Robot Show at Taipei Nangang Exhibition Center in 2019, 2020, and 2021.