Curriculum Vitae

tags: cv

[中文版]

Shengwen Cheng

E-mail: [e-mail]
GitHub: github.com/shengwen-tw
Linkedin: shengwen-tw

Education

• M.Sc.Eng, Graduate Degree Program of Robotics, National Yang Ming Chiao Tung University (2019/9/3~2021/11/10)
• B.Eng., major in Computer Science and Information Engineering, Providence University (2015/9/14~2019/6/14)

Employment

System Software Engineer, Nvidia, Taiwan (2024/2~Now)

• Tegra SoC Secure Boot Firmware

Sensor Fusion Engineer, GallopWave, Taiwan (2023/9~2024/2)

• Advanced Driver Assistance Systems (ADAS) algorithm validation

Embedded System Engineer, Avilon Intelligence, Taiwan (2018/9~2019/9)

• Vision-assisted auto-landing system of UAV
• High-performance flight computer design (ARM Cortex-A72 + A53)
• Integration of 4G-LTE wireless communication

Field of Interest

1. Robotics
2. Unmanned Aerial Vehicles (UAV)
3. Embedded System
4. Real-time Operating System (RTOS)
5. Simultaneous Localization and Mapping (SLAM)

Professional Background

Computer Science

1. Harware Architectures: ARM Cortex-A/M, RISC-V
2. Real-time Operating System: FreeRTOS, NuttX. Project owner of an open-source RTOS (Tenok, see below).
3. Computer vision: Applications of Unmanned Aerial/Ground Vehicles

Robotics

1. Multirotor UAV: Modeling, Control, Estimation, Simulation and Design
2. Nonlinear control: Feedback linearization, Sliding Mode Control, Adaptive Control
3. Optimal control: Linear Quadratic Regulator, H∞ Control, Model Predictive Control
4. State estimation: Kalman Filter, Numerical Optimization
5. SLAM: Visual-SLAM, LiDAR Odometry
6. BLDC control: Trapezoidal Control, Field-Oriented Control
7. Motion planning: Minimum-snap trajectory generation, Rapidly-Exploring Random Tree (RRT)

Projects

Main works

1. Quadrotor flight control system [video]
2. Puyuma: a miniature vision-based self-driving system [code] [report] [slide]
3. Tenok: an experimental real-time operating system [code] [report] [video]
4. PU-01: a twin-boom fixed wing aircraft [slide] [video]

Simulations

1. Simulation of quadrotor with geometric tracking control (nonlinear control) [code]
2. Simulation of quadrotor with LQR control and fast Riccati equation solver [code] [report]
3. Simulation of quadrotor with H∞ control [code] [slide]
4. Simulation of BLDC with field-oriented control and square-wave control [code]
5. Simulation of minimum-snap trajectory generation [code]
6. Simulation of RRT (Rapidly-Exploring Random Tree) [code]

Publications

1. S.-W. Cheng and H.-A. Hung, "Robust State-Feedback H-infinity Control of Quadrotor," 2022 International Automatic Control Conference (CACS), Taiwan, 2022. [link]
2. S.-W. Cheng, S.-W. Wang, P.-S. Chen, K.-F. Hsu, C.-Y. He, and C.-C. Huang, "Puyuma: Linux-based RTOS Experimental Platform for Constructing Self-Driving Miniature
   Vehicles," Workshop on Compiler Techniques and System Software for High-
   Performance and Embedded Computing (CTHPC), Taiwan, 2017. [link]

Presentations

1. Crafting a Vision-Aided Software Stack for UAV, Embedded Open Source Summit (EOSS), Seattle, USA, 2024. [link]

Awards and Honors

1. Vision Get Wild Award – Silver Award, 2018
2. Graduation Project Competition of Bachelor – First Prize, 2017
3. Taiwan Summer of Code – First Prize, 2014

Language Proficiency

1. Chinese: Native
2. English: TOEFL 91
3. Japanese: JLPT N1
4. German: Amateur level