Computational Scientist & Software Engineer
Mujin Inc., Tokyo, Japan
PhD of Computational Science and Engineering
McMaster University, Canada
Guangning Tan (谭广宁), was born and raised in Guangzhou, China. He received in 2010 his Bachelor degree in Communication and Electrical Engineering at Sun Yat-sen University, Guangzhou, and in 2012 and 2016 his M.Eng and PhD respectively in Computational Science & Engineering at McMaster University, Canada. While at McMaster, he was the main author of the DAESA package, a Matlab tool for structural analysis of differential-algebraic equation systems.
After finishing post-doc at MIT, Tan joined Mujin Inc. (Tokyo, Japan) as Computational Scientist and Software Engineer. He has succeeded in solving one of the most difficult computational problems in robot kinematics automation. He authored IKFastCpp, a C++ package that solves all kinds of inverse kinematics (IK) problems of all industrial robots. Within IKFastCpp he has developed innovative mathematical theories, numerical algorithms, and efficient modern C++ code. Compared with IKFastCpp's predecessor ikfast.py originated by Mujin's CTO Dr. Rosen Diankov, IKFastCpp can generate much more reliable and versatile solution code in any programming language. The Mujin company uses these inverse kinematics solvers in numerous robotics automation applications, such as motion planning, and kinematics calibration in robot system identification.
DAESA: A Matlab Tool for Structural Analysis of Differential-Algebraic Equations: Theory, ACM Trans. Math. Softw., 41 (2015), pp. 9:1-9:20. PDF
Algorithm 948: DAESA: A Matlab Tool for Structural Analysis of Differential-Algebraic Equations: Software, ACM Trans. Math. Softw., 41 (2015), pp. 12:1-12:14. PDF
Conversion Methods for Improving Structural Analysis of Differential-Algebraic Equation Systems. BIT Numerical Mathematics, Volume 57, Issue 3, pp 845–865
How Algorithmic Differentiation Can Help Solve Differential-Algebraic Equations. Optimization Methods and Software, DOI: 10.1080/10556788.2018.1428605
Copyright © 2018 Guangning Tan's personal website - All Rights Reserved.