Multifunctional physical reservoir computing in soft tensegrity robots

This project represents specialized academic research at the intersection of soft robotics and neuromorphic computing. Its defensibility is low from a commercial software perspective (3/10) because it is a simulation study with zero stars and high reproducibility for other researchers in the field. However, its 'moat' lies in the deep domain expertise required to model and control tensegrity structures, which are notoriously difficult due to their non-linear, coupled dynamics. Frontier labs like OpenAI or Anthropic have almost zero interest in low-level soft robotics control or physical reservoir computing, preferring general-purpose digital architectures, which keeps the frontier risk 'low'. The primary competition comes from other university labs (e.g., Harvard, MIT, EPFL) or niche startups like Squishy Robotics. While the codebase is a reference implementation, the underlying concept of 'morphological computation'—using the robot's physical body to perform calculations—is a significant paradigm shift from centralized digital control. Displacement is unlikely in the short term because the field is still in the fundamental research phase, far from commercial consolidation.