iOS 13.3.7

Hey, I'm 

 Justin M. Lu 

about me:


Hey, I’m Justin - an MS Robotics student (with a Bachelors in CS) at the University of Michigan.

I’ve worked on everything from autonomous VTOL drones to reinforcement learning agents with modern legged robots.
I enjoy tackling tough problems, especially ones in modern robotics - because I think robots are pretty cool.


University of Michigan | Ann Arbor, MI
M.S in Robotics (Class of '26)
B.S.E in Computer Science and Engineering (Class of 24)

Email:
lujust@umich.edu

work experience:

Agile Robot Control and Design (ARCAD) Lab
Researcher (2025 - Present)


- Currently experimenting with novel RL + IL control systems on Unitree & Agility Robotics platforms.
- Also developing experimental variants of Constrained-PPO algorithms based on papers that I find really cool and neat

APR Beauty
IT & Cybersecurity Intern (June 2024 - Aug 2024)


- Integrated Microsoft Business Central ERP to automate inventory stock updates and enhance supply chain operations.
- Strengthened enterprise-wide cybersecurity in preparation for strategic partnership with Anjac Health & Beauty

Dynamic Legged Locomotion Lab @ Michigan Robotics
Research Assistant (Feb 2023 - Aug 2023)


- Contributed to Dr. Wami Ogunbi’s research on stair climbing algorithms for Agility Robotics’ Cassie & Digit.
- Experimented with Reinforcement Learning in combination with traditional control-theory robot control methods.

The Globe and Mail
Software Developer Intern (May 2022 - Aug 2022)


- Collaborated with the Sophi engineering team to integrate the Sophi Dynamic Paywall Engine with major client platforms (e.g., Reuters, Global News).
- Improved backend data workflows and API response times.

Miracotech
Software Developer Intern (June 2021 - Aug 2021)


- Built a deep learning-powered social media analytics platform using PyTorch and BeautifulSoup.
- Assisted in migrating systems to Google Workspace/Microsoft 365, website setup, and general IT activities :)

leadership

President, Michigan Vertical Flight Technology (MVFT)  |  2020 - 2024

- Led a 50+ member team to consecutive victories in the United States VFS Design-Build-Vertical Flight Competition.

- Spearheaded R&D on a 2-meter wingspan VTOL aircraft for autonomous payload delivery.

- Established strategic partnerships with Ford, Blue Origin and Airspace Experience Technologies.

project kineval (version 2.0)

Link (GitHub)


- Kineval is a Javascript / ThreeJS implementation framework for web-based robot kinematics, dynamics, and autonomous control.

- Kineval is compatible with ROSBridge and, as such, can be used to control actual robots through a lightweight interface.

- Robots tested on: MR2, Fetch, Spot, Cassie (WIP)

paper: Maze Pathfinding & SLAM using Probabilistic Robotics 

Paper (PDF)


- We implement a real-time SLAM pipeline (particle filter + LIDAR) on an MBot, letting it map and localize while roaming around.

- Integrates A* path planning to explore frontiers, find exits, and return home - all autonomously.

- Implements solid motion control (PID-based wheel velocity + sensor fusion) to handle tight turns and avoid sensor drift.

paper: Stacking & Throwing Hoops with a 5-DOF Robotic Arm

Paper (PDF)


- We present a 5-DOF Trossen Robotics arm paired with an Intel RealSense L515 for real-time block detection and for shooting hoops.

- Uses optimized closed-form forward and inverse kinematics solvers to stack and sort blocks (with surprisingly good accuracy)

- We also present a mini-basketball launcher for automated free-throws like Lebron (but not Shaq).