Joe Norby
Senior Engineering Manager - Motion Control And Planning at Apptronik
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolJoe Norby is a senior engineering manager and roboticist with nine years of experience building navigation, motion planning, and control systems for legged robots, currently leading Motion Control and Planning at Apptronik in Austin. He earned a Ph.D. from Carnegie Mellon where his research at the Robomechanics Lab advanced the interface between planning and control for agile legged autonomy, and he brings that research rigor to production humanoid systems. Joe has hands-on experience implementing core planners and integrating tools like FastTerrainMap and RBDL for quadruped projects on GitHub, demonstrating a knack for bridging academic algorithms with robust engineering. Known for shipping practical, testable motion stacks, he pairs deep control theory with pragmatic software design to enable robots to perceive and traverse real-world terrain.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at University of Notre DameDoctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Carnegie Mellon UniversityHigh School, High School at Thomas Jefferson Senior High School
Github Skills (10)
c-language10
robotics10
cprogramming-language10
kinematics10
motion-planning10
data-structure9
ros9
algorithm9
data-structures9
algorithms9
Programming languages (4)
Github contributions (5)
robomechanics/quad-sdk
Sep 2020 - Aug 2022
Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:153 reviews, 733 commits, 215 PRs in 1 year 11 months
Contributions summary:Joe implemented core planning functionalities for the robotic quadruped project. They added the skeleton of a spirit_utils library, introducing a sample library included in spirit utils. The user then added a basic planner, implementing functions for computing, interpolating, and visualizing the robot's state and motion based on the planning algorithm. They integrated the FastTerrainMap and the RBDL library for calculations.
agile
jcnorby/FROST
Nov 2018 - Aug 2020
Contributions:1 release, 2 PRs, 46 pushes in 1 year 8 months
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