Scott L is a founder and CEO based in the San Francisco Bay Area who has spent 13 years building software and robotics systems that accelerate experimental research by improving access to reproducible robot hardware. With a PhD in Control and Dynamical Systems from Caltech and hands-on experience from lab hardware and embedded firmware to cloud services, he blends deep control theory with practical engineering. He founded rerobots to offer cloud-like access to physical robots, aiming to shorten test cycles for robot software, and also consults independently on software engineering. A contributor to the well-known Python Control Systems Library documentation, he brings both academic rigor and clear technical communication to open-source tooling. Known for shipping prototypes and bridging lab-grade instrumentation with scalable software, he focuses on making robotics research more accessible and repeatable.
13 years of coding experience
3 years of employment as a software developer
California Institute of Technology
Bachelor of Science - BS Electrical and Electronics Engineering; Mathematics, Bachelor of Science - BS Electrical and Electronics Engineering; Mathematics at University of Tennessee, Knoxville
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
Role in this project:
Technical Writer
Contributions:103 reviews, 28 commits, 37 PRs in 4 years 9 months
Contributions summary:Scott primarily focused on improving the documentation of the Python Control Systems Library. Their commits include updating docstrings, adding details about functions like `root_locus` and `StateSpace.dcgain`, and providing context and references for test cases. They also made minor code improvements, such as correcting indentation.
an enumerative reactive synthesis tool for the GR(1) fragment of LTL
Contributions:75 commits, 2 PRs, 57 pushes in 6 years 9 months
fragmentsynthesisltlreactive-synthesisreactive
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