Description
The role develops a user-friendly calibration suite for multi-modal sensor systems such as RGB cameras, LiDARs, and IMUs, while collaborating with researchers on advanced robotic systems. It involves solving real-world robotics problems, designing complex systems, and applying classical optimization and learning algorithms. The position seeks a master's or PhD student in robotics, computer vision, or a related field with C++ and Python proficiency, knowledge of state estimation and optimization, and familiarity with factor graph optimization and GTSAM.
