Behavioral Repertoires for Soft Tensegrity Robots

This project is an academic artifact associated with a 2020 research paper. With 0 stars and 6 forks over 5 years, it lacks traditional open-source traction but serves as a niche reference for the soft robotics community. Its defensibility is low from a software perspective as the algorithms (likely MAP-Elites or similar) are well-documented elsewhere, but the domain expertise in tensegrity physics is specialized. Frontier labs are unlikely to compete here as the problem is too hardware-specific and niche for general-purpose AI labs. The primary 'competitors' are other research labs (e.g., NASA Tensegrity Robotics Toolkit, Berkeley's BEST Lab) or more modern Quality Diversity libraries like 'pyribs'. The risk of platform domination is negligible because the market for soft tensegrity control software is currently limited to high-end R&D in aerospace or search-and-rescue.