Pedro Morais

Controls Engineer at Agility Robotics

Corvallis, Oregon, United States
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Summary

👤
Senior
🎓
Top School
Pedro Morais is a Staff Research Scientist with 11 years of experience building machine learning, simulation, and control software for highly dynamic legged robots. Based in Portland, he has led sim-to-real breakthroughs and produced the fastest known controller for a human-size biped while at Oregon State University, and later deployed robust field-ready systems at Agility Robotics. His work spans Monte Carlo planners, deep reinforcement learning, and custom high-performance training frameworks—often implemented as open, reproducible tooling on GitHub. Now at Boston Dynamics, he applies that blend of research rigor and production engineering to dexterous manipulation for Atlas. Colleagues describe him as someone who pairs clean, modular code with aggressive performance tuning, and who deliberately optimizes for real-world reliability rather than lab-only results.
code11 years of coding experience
job4 years of employment as a software developer
bookCrescent Valley High School
bookBS, Computer Science, 3.9, BS, Computer Science, 3.9 at Oregon State University
bookComputer Science, Computer Science at Universidade Federal do Rio Grande do Sul
languagesEnglish, Portuguese, Spanish
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Github Skills (63)

python10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
reinforcement-learning9
parallel9
acceleration9
autograd9
tensorflow9
tensor9
optimization9
mojo9
gpu-acceleration9

Programming languages (7)

C++CMojoSCSSJupyter NotebookCythonPython

Github contributions (5)

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p-morais/deep-rl

Jul 2017 - Mar 2020

Pytorch-based python library for continuous reinforcement learning and imitation learning
Contributions:115 commits, 61 pushes, 5 branches in 2 years 8 months
pytorchpython-librarypythonstable-baselinesreinforcement-learning
p-morais/jacobian-ik

Apr 2015 - Mar 2017

Contributions:6 commits, 4 pushes, 1 branch in 1 year 11 months
javascriptjacobianjavascript-demo
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Pedro Morais - Controls Engineer at Agility Robotics