Daqian Cheng
About Daqian Cheng
Daqian Cheng is a Research Engineer with expertise in SLAM algorithms and hardware-software sensor co-design, currently working at TuSimple in San Diego. He has previously held research positions at Carnegie Mellon University and The Hong Kong University of Science and Technology, focusing on robotics and sensor technologies.
Current Role at TuSimple
Daqian Cheng has been employed as a Research Engineer at TuSimple since 2021. In this role, he focuses on advanced research and development in the field of autonomous driving technology. His work contributes to the company's mission of enhancing the efficiency and safety of transportation systems through innovative engineering solutions.
Previous Experience at Carnegie Mellon University
Daqian Cheng worked at Carnegie Mellon University Robotics Institute in various capacities. He served as an Undergraduate Research Assistant for three months in 2018, where he contributed to robotics research. He later became a Graduate Research Student from 2019 to 2021, focusing on non-linear optimization and probabilistic filtering. His time at Carnegie Mellon significantly shaped his expertise in robotics and related technologies.
Research Focus and Expertise
Daqian Cheng's research primarily centers on SLAM (Simultaneous Localization and Mapping) algorithms and hardware-software sensor co-design, particularly for confined spaces. He has developed a custom ultra-compact 3D scanner, which is currently utilized by Boeing in airplane manufacturing. His extensive experience includes working with various sensors such as Velodyne and Livox LiDAR, IMU, and GNSS & RTK-GPS.
Educational Background
Daqian Cheng earned a Master of Science in Robotics from Carnegie Mellon University, where he studied from 2019 to 2021 and achieved a GPA of 4.17. Prior to this, he completed a Bachelor's degree in Electronic and Information Engineering at Beihang University from 2015 to 2019. His educational background laid a strong foundation for his career in robotics and engineering.
Project Involvement
During his career, Daqian Cheng has been involved in significant projects, including the design of a robot and payload for in-pipe 3D mapping in 12-inch natural gas pipes. This project showcases his ability to apply theoretical knowledge to practical challenges in the field of robotics and sensor technology.