Model-Free Adaptive Parameter Tuning for Efficient Multi-Robot Warehouse Operations
This work eliminates manual parameter provisioning and enables real-time adaptation, providing a self-tuning paradigm for FC storage operations, and presents an adaptive parameter tuning framework based on Extremum Seeking Control that continuously adjusts planner parameters in response to measured throughput.