Adaptive and Resilient Soft Tensegrity Robots

This project is a 9-year-old academic reference implementation for a specific research paper on tensegrity robotics. With 0 stars and no activity in nearly a decade, it lacks any modern software defensibility. Tensegrity (structures made of bars and cables) is a niche sub-field of soft robotics primarily explored by NASA (for space landers) and specialized academic labs. While the research was significant at the time, the codebase has been displaced by modern Reinforcement Learning (RL) frameworks like Brax, Isaac Gym, or MuJoCo which handle soft-body dynamics more efficiently. Frontier labs like OpenAI or Google DeepMind are focused on general-purpose humanoid/manipulator control and are unlikely to enter the niche hardware-specific domain of tensegrity robots. For a technical investor, this project is essentially an archival artifact rather than a viable commercial platform, as the 'moat' (the specific gait evolution logic) has been superseded by newer machine learning techniques.