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Design, develop, integrate and tune mapping and navigation systems for autonomous mobile robot
Implement intelligent strategies for path planning and obstacles avoidance on a mobile robot
Fuse information from different sensors (IMU, LiDARs, encoders, …) to realize SLAM, robot localization and navigation algorithms
From the information of LiDAR and depth camera, build environmental maps (2D/3D) for navigation of autonomous mobile robot
Build a map management system for robotic application
Job Requirements:
M.Phil., or Ph.D. Degree in Computer Science, Robotics or related field
Solid programming Skill in C/C++, Python in Linux environment
Strong experience in designing and developing robotic systems using a robotic middleware (such as ROS), and existing libraries and tools
Develop, integrate, and analyze sensor fusion algorithms such as extended Kalman filters, unscented Kalman filters, particle filters, or factor graphs
Knowledge of LiDAR SLAM, 2D/3D Vision SLAM, robot path-planning and localization
Familiar with SLAM frameworks and experience in applying SLAM related libraries such as Slamware
Strong problem-solving skills and ability to work independently and as part of a team
Good communication and interpersonal skills
Passion for technology and a desire to continuously learn and improve
We offer promising career advancement opportunities and attractive compensation package to the right candidate. Interested parties, please send your full resume to Human Resource Department.
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