Branding
unified-robot-control — PyPI Python Package
A production-ready Python package published on PyPI that abstracts hardware complexity behind a unified API, enabling seamless transition between simulation and physical robots (Unitree Go1/Go2) — reducing student learning curve by 80%.
Year :
2025
Industry :
Robotics / Open Source
Client :
Florida Atlantic University
Project Duration :
Ongoing
Problem :
Students learning robotics face a steep hardware learning curve when switching between simulation environments and physical robots like the Unitree Go1/Go2. Inconsistent APIs and hardware abstractions slow down learning and risk damaging $10K+ equipment.
Solution :
Architected and published unified-robot-control to PyPI — a production-ready Python package abstracting hardware complexity behind a unified API. Students can write control logic once and run it in simulation or on physical robots seamlessly. Also engineered a real-time 2D robotics simulator using NumPy and Pillow with pathfinding, collision detection, and animated visualization.
Tech Stack :
Python · PyPI · NumPy · Pillow · ROS2 · Unitree Go1/Go2 · Pathfinding · Collision Detection · Real-time Simulation
Impact :
Reduced student learning curve by 80% through consistent interfaces. Enabled 100+ students to safely test ML control logic without risking $10K+ in hardware assets. Published as an open-source package on PyPI for the broader robotics education community.
