brianmcera/Tensegrity-Dynamics-and-Optimal-Control

This project is a classic example of an academic research archive. With only 4 stars over nearly 7 years and zero recent activity, it lacks any community momentum or production-grade utility. Tensegrity robotics is a highly specialized niche within soft robotics and aerospace engineering; while the underlying physics are complex, this repository serves more as a historical reference for a specific researcher's work rather than a living toolset. The defensibility is near zero as the code is easily reproducible by any graduate student in the field using modern simulation environments like MuJoCo or Drake. Frontier labs are unlikely to ever compete here because the hardware applications for tensegrity are limited to specific use cases like planetary landers or niche flexible manipulators. The risk of displacement is high only in the sense that modern Reinforcement Learning (RL) approaches have largely superseded the classical optimal control methods implemented here for complex, non-linear robotic structures.