Hongyi (Sam) Dong

Hongyi (Sam) Dong is a master’s student in Robotic Systems Development at Carnegie Mellon University with a background in computer science and robotics. His expertise spans path planning, motion planning, perception, and machine learning, with experience building autonomy systems using ROS2 and modern AI tools. In this project, he serves as team leader and focuses on autonomy development, contributing to path planning, pure pursuit, and data-driven decision support.

Po-Ting Ko

Po-Ting Ko is a master student specializing in SLAM, motion planning, and autonomy system design at Carnegie Mellon University. His work focuses on scalable planning architectures that bridge global decision-making with real-time execution. He has experience in control systems for eVTOL platforms and quadcopters. In this project, he leads system architecture design while supporting autonomy stack integration on the Knightscope platform.

Chenxi (Leo) Xu

Chenxi (Leo) Xu is a master student in Robotic Systems Development at Carnegie Mellon University with a background in computer science, statistics, and robotics from University of Rochester. His expertise spans path planning, motion planning, and machine learning. He has engineering experiences in SLAM, UAV decision making, and path planning. His research interest focus on the multi-robot system, and he’s currently working in the ARCS lab, advised by professor Jiaoyang Li.

Pin-Wen Wang

Pin-Wen is an MRSD student at Carnegie Mellon University with a background in Computer Science from National Taiwan University. Her work centers on robotics autonomy, motion planning, and AI system optimization. She has experience in cyber-physical systems research and VR-based interactive systems, and she is passionate about developing technically sound, real-world deployable robotic solutions that bridge engineering and product development.

Tzu-Cheng (Joshua) Tsai

Joshua is an MRSD student at Carnegie Mellon University specializing in SLAM, robot motion planning, and autonomous systems. He has prior research experience and self-driving industry experience in LiDAR sensing, perception, calibration, localization, mapping, and sensor fusion. In his current projects, he focuses on SLAM, navigation, and autonomy stack development, while also contributing to autonomous system design and autonomy stack integration on the Knightscope platform.