Levi Burner
Graduate Research And Teaching Assistant
College Park, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolLevi Burner is a robotics-focused researcher and software engineer with 12 years of experience blending vision-based adaptive control, embedded systems, and production-grade robotics software. As a Graduate Research and Teaching Assistant at the University of Maryland pursuing a PhD in ECE, he designs curricula and leads projects in robotic perception, planning, and nonlinear control while applying his research to real-world robotic platforms. His industry work includes developing Jetson-based multi-camera vision systems, STM32 firmware for hi-fi audio capture, and test suites that scaled production at Carnegie Robotics. An active systems and backend contributor to high-profile projects like DeepMind's MuJoCo, he has refactored C++ simulation code for modularity and modern memory management practices. Comfortable across hardware, firmware, and system architecture, he is skilled at turning academic research into practical, deployable robotics solutions.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of MarylandBachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at University of Pittsburgh
English
Github Skills (9)
memory-management10
mujoco10
robotics10
c-language10
physics10
cprogramming-language10
architecture9
architectures9
namespaces8
Programming languages (9)
Github contributions (5)
google-deepmind/mujoco
Mar 2022 - Oct 2022
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Role in this project:
Backend Developer & System Architect
Backend Developer & System ArchitectContributions:41 reviews, 24 commits, 25 PRs in 6 months
Contributions summary:Levi primarily focused on refactoring the simulation code within the MuJoCo project, restructuring the codebase for better modularity and adherence to C++ conventions. Their contributions included splitting the UI from the application, converting structs to classes, and integrating the code within the `mujoco` namespace. The user also made various improvements related to memory management, particularly focusing on smart pointers.
physics-enginephysicsroboticsrobotics-simulationbullet-physics
Pitt-RAS/iarc7_motion
Nov 2016 - Feb 2019
Motion Planning and Control code for generic multirotor, developed for IARC Mission 7
Contributions:110 PRs, 235 pushes, 106 branches in 2 years 3 months
motionmultirotorgenericplanningmotion-planning
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