Olivier Stasse
Research Director at LAAS-CNRS
France
Summary
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Rockstar🎓
Top SchoolOlivier Stasse is a research director at CNRS and leader of the Gepetto team, with over a decade of experience developing reactive, vision-based behaviors for humanoid robots. His work bridges fundamental cognitive questions about rapid human decision-making with practical robotic implementations, tackling NP-hard motion planning problems on real platforms like HRP-2. A seasoned contributor to key open-source robotics software (notably performance and usability upgrades to the widely used Pinocchio dynamics library), he combines deep theoretical insight with low-level C++ engineering. He holds a PhD in robotics and an Habilitation to Direct Research, and has progressed through academic and research roles from assistant professor to CNRS director. Olivier is drawn to the surprise in everyday decision heuristics—how humans intuitively structure search and action—and translates those observations into algorithms for autonomous agents. Based in France, he excels at turning complex neuroscience-inspired questions into deployable robotic systems.
11 years of coding experience
2 years of employment as a software developer
Habilitation to Direct Research, Robotics, Habilitation, Habilitation to Direct Research, Robotics, Habilitation at Université Paul Sabatier Toulouse IIIPhD, Robotics and complex systems, PhD, Robotics and complex systems at Pierre and Marie Curie University
Stackoverflow
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Github Skills (9)
rigid-bodies10
dynamic10
c-language10
cpp10
cprogramming-language10
dynamics10
kinematics9
automatic-differentiation8
code-generation7
Programming languages (10)
Github contributions (5)
stack-of-tasks/pinocchio
Dec 2015 - Apr 2019
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Role in this project:
Backend Developer
Backend DeveloperContributions:23 commits, 16 PRs, 20 pushes in 3 years 4 months
Contributions summary:Olivier focused on improving the core functionality of the Pinocchio library. Their contributions include inlining functions for better performance, adding the ability to name models when loading URDF files, and adapting the code to compile with C++11. They also added an inline function to retrieve collision geometry and provided an example using SE(2).
code-generationpythonautomatic-differentiationc-plus-pluspinocchio
olivier-stasse/dynamic-graph
Aug 2018 - Oct 2023
Efficient data-flow library for robotics.
Contributions:55 pushes, 3 branches in 5 years 2 months
roboticsdataflowdata-flowgazebosim
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