Michael Equi
Member Of Technical Staff at Physical Intelligence
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Equi is a robotics-focused software and systems engineer with seven years of multidisciplinary experience building perception, controls, and electronics for underwater, land, and space platforms. Currently a Member of Technical Staff in San Francisco, he specializes in PCB and circuit design, ROS2 development in Python/C++, and robotics navigation and control algorithms, with notable contributions to the widely used ROS 2 Navigation2 stack. He has applied ML and language integration to improve long-horizon robot autonomy through roles at Berkeley AI Research, Tesla’s Optimus effort, and humanoid autonomy residencies, bridging research and productization. A founder and leader of multiple robotics ventures and student organizations, he pairs hands-on technical delivery with mentoring and curriculum creation. Not obviously apparent from his profile, he repeatedly drives ROS2 migrations and infrastructure refactors, enabling teams to scale development practices across complex robotic systems. He’s driven by a passion for technology’s societal impact and actively seeks cross-disciplinary collaboration and open-minded discourse.
7 years of coding experience
8 years of employment as a software developer
Bachelor's degree Electrical Engineering and Computer Science (EECS), Bachelor's degree Electrical Engineering and Computer Science (EECS) at University of California, BerkeleyJesuit High SacramentoAmerican River College
Github Skills (12)
navigationbar10
robotics10
c-language10
cprogramming-language10
ros10
navigation-drawer10
navigationview10
params9
para9
parameterized9
testing8
documentation7
Programming languages (13)
Github contributions (5)
ros-navigation/navigation2
Jul 2020 - Aug 2020
ROS 2 Navigation Framework and System
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 6 PRs, 50 comments in 1 month
Contributions summary:Michael primarily contributed to the ROS 2 Navigation Framework, focusing on adding and modifying parameters for different components like AMCL and the static map layer. They also worked on integrating a range sensor costmap layer, involving sensor data processing and costmap building logic. Their work includes modifying code related to environment variables, QoS profiles, and topics, indicating an understanding of ROS 2's architecture and configuration. The user also engaged in adding tests and documentation to the navigation stack.
roboticsros2autonomous-robotsrosnavigation
Michael-Equi/ROV_Test_Bench
Jul 2018 - Sep 2018
Contributions:34 PRs, 183 pushes, 2 branches in 2 months
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