Duy-nguyen Ta
Roboticist Applied Scientist at The AI Institute
Lexington, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolDuy-nguyen Ta is a roboticist and applied scientist with 15 years of experience building perception and mapping systems for resource-constrained robots and autonomous vehicles. He has driven perception and SLAM innovations at The AI Institute, Outrider, Toyota Research Institute and iRobot, including memory-efficient factor-graph vSLAM backends and fast pose-graph sparsification for long-term mapping. His Georgia Tech PhD work united perception and optimal control in constrained factor graphs and produced practical object-centric and Lie-group-based approaches used in real robot navigation. Comfortable moving ideas from theory to production, he repeatedly delivers algorithms that trade optimality for efficiency to run on embedded platforms. Based in Lexington, MA, he combines deep academic roots with hands-on product impact across consumer and industrial robotics.
15 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyHigh School Diploma, Information Technology, High School Diploma, Information Technology at VNU-HCM High School for the GiftedMaster of Engineering, Computer Engineer, Master of Engineering, Computer Engineer at National University of Singapore
Github Skills (51)
pattern-recognition10
sparse10
godot10
robotics10
game-engine10
hierarchical10
d2l10
behavior10
open-source10
verification10
gtsam10
sam10
keras10
smoothing10
drake10
Programming languages (2)
Github contributions (5)
thduynguyen/dotfiles
Aug 2017 - Aug 2022
Contributions:27 pushes, 1 branch in 5 years 1 month
thduynguyen/drake
Nov 2017 - Jul 2021
A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at
Contributions:62 pushes, 13 branches in 3 years 8 months
crosswordstructural-engineeringnonlineartoolboxdynamical-systems
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