Amado Antonini
Director Of Robot Perception at OpenSpace
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolAmado Antonini is a robotics perception leader with 11 years of experience, currently directing Robot Perception at Symbotic while also contributing as a Senior Machine Vision Engineer at OpenSpace and founding autonomous vehicle startup AuTurn. He combines hands-on C++ and Python engineering with strategy, having extended the widely used GTSAM library to expose advanced GNC parameters to Python and added unit tests to improve reliability. An MIT BS/MS graduate, he thrives on solving hard perception and mapping problems and translating research-grade tools into production-ready systems. Based in Greater Boston, he balances technical rigor with entrepreneurial drive and a people-first leadership style. Colleagues know him as relentless and detail-oriented, with a personal mission to make a positive difference for those around him.
10 years of coding experience
Bachelor of Science - BS, Bachelor of Science - BS at Massachusetts Institute of TechnologyOzarks Technical Community College
Spanish, English, French, Italian, German
Github Skills (6)
nonlinear-optimization10
c-language10
robotics10
cprogramming-language10
python10
unit-testing9
Programming languages (2)
Github contributions (5)
borglab/gtsam
Jun 2022 - Jul 2022
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 26 commits, 11 comments in 1 month
Contributions summary:Amado primarily focused on extending the functionality of the GTSAM library, specifically exposing parameters and attributes to Python. Their contributions included modifying C++ code to enable access to GNC (Generalized Gauss-Newton) parameters within the Python environment. The user also added unit tests to validate the exposed parameters and attributes. Furthermore, they addressed review comments and formatted code for improved readability.
smoothingsparsec-plus-plushierarchicalpattern-recognition
openspacelabs/gtsam
Jul 2022 - Mar 2023
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Contributions:3 PRs, 10 pushes, 67 branches in 8 months
sparse-matricesroboticsmatricessmoothingvision
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