Qianli Ma is a Staff Motion Planning Engineer with 11+ years of robotics experience, combining a Ph.D. from Johns Hopkins and leadership roles at Motional and Woven by Toyota to build production-grade autonomous driving planners. His background spans calibration, control, trajectory optimization and multi-robot systems, grounded in extensive hands-on research, teaching, and a startup internship in collaborative manufacturing. He has deep domain expertise in motion planning and a track record of scaling teams and systems from research prototypes to deployed stacks. As Assistant Editor for Robotica and an active GitHub maintainer, he brings both scholarly rigor and practical open-source instincts to complex robotics problems. Notably, he started pursuing robotics as an undergraduate in 2010 and has continuously supplemented his academic training with targeted online programs (ML, AI in Robotics, self-driving nanodegree), reflecting a persistent drive to bridge theory and real-world applications.
11 years of coding experience
12 years of employment as a software developer
Johns Hopkins University
Bachelor's degree, Mechanical Engineering, rank 2nd/159, Bachelor's degree, Mechanical Engineering, rank 2nd/159 at Tianjin University
Contributions:49 commits, 2 pushes in 1 year 10 months
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Qianli Ma - Staff Motion Planning Engineer at Woven by Toyota