Gangyuan (Jim) Jing
About Gangyuan (Jim) Jing
Gangyuan (Jim) Jing is a Robotics Engineer currently employed at Intrinsic in Mountain View, California, where he has worked since 2022. He holds a Ph.D. in Mechanical Engineering from Cornell University and has over 10 years of experience in robot programming and control.
Work at Intrinsic
Gangyuan (Jim) Jing has been employed as a Robotics Engineer at Intrinsic since 2022. Located in Mountain View, California, he has contributed to the company's initiatives in robotics for two years. His role involves applying his extensive knowledge and skills in robotic systems to advance the company's technological capabilities.
Previous Experience in Robotics
Prior to joining Intrinsic, Jing worked as a Roboticist at Vicarious from 2019 to 2022. During his three years in the San Francisco Bay Area, he focused on developing innovative robotic solutions. Before that, he served as a Senior Software Engineer at Neocis Inc. for one year in Miami, where he contributed to software development for robotic applications.
Education and Expertise
Jim Jing earned his Doctor of Philosophy (Ph.D.) in Mechanical Engineering from Cornell University, where he focused on high-level mission planning of robotic systems. His academic journey at Cornell also includes a Bachelor of Science (BS) in Mechanical & Aerospace Engineering, completed between 2008 and 2011. His education has provided him with a strong foundation in robotics and engineering principles.
Robotic System Development
Jing developed a modular robot system designed for autonomous exploration of unknown environments. This system utilizes AprilTags and an RGBD camera, showcasing his ability to integrate various technologies for practical applications in robotics. His work reflects a commitment to advancing robotic capabilities in real-world scenarios.
Programming and Control Skills
With over 10 years of experience in robot programming and control, Jing is proficient in using Python and C++. His technical skills enable him to design and implement complex robotic systems, contributing to the efficiency and effectiveness of robotic operations.