Resilient Online Planning for Mobile Robots With Minimal Relaxation of Signal Temporal Logic Specifications
We address the problem of resilient motion planning for robots operating under Signal Temporal Logic (STL) specifications in dynamic environments. In such settings, unforeseen events-such as the emergence of dynamic obstacles-can render the original STL specification infeasible. To address this, we