Global Cooperative Localization Method Using Fuzzy DDEKF and Broad Learning System for Swarmed Omnidirectional Mobile Robots with Uncertainties

Key Points

• Localization accuracy improves in swarmed omnidirectional mobile robots with uncertainties, providing better navigation.
• Key metrics show a significant enhancement in cooperative positioning with fuzzy DDEKF and broad learning systems.
• Analysis of the cooperative localization method employs fuzzy DDEKF within a broad learning system framework.
• This approach highlights the potential for more robust mobile robot navigation despite environmental uncertainties.