Self-Supervised Temporal Pattern Mining for bio-inspired soft robotics maintenance with zero-trust governance guarantees

The article explores the maintenance of bio-inspired soft robotics, addressing the non-linear nature of material degradation that challenges traditional maintenance schedules. The research focuses on Self-Supervised Temporal Pattern Mining to identify precursor signals to failure and integrate zero-trust governance guarantees.