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cs.RO2026
VLM-GLoc: Vision-Language Model Enhanced Monte Carlo Localization for Robust Semantic Global Localization in Cluttered Quasi-Static Environments
Shivendra Agrawal, Bradley Hayes
Global localization in geometrically aliased, quasi-static environments such as grocery stores, offices, schools, and hospitals poses a significant challenge for mobile robots. Gro…
cs.AI2026
GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology
Shivendra Agrawal, Bradley Hayes
Navigating complex, densely packed environments like retail stores, warehouses, and hospitals poses a significant spatial grounding challenge for humans and embodied AI. In these s…
cs.RO2026
RF-Modulated Adaptive Communication Improves Multi-Agent Robotic Exploration
Lorin Achey, Breanne Crockett, Christoffer Heckman +1
Reliable coordination and efficient communication are critical challenges for multi-agent robotic exploration of environments where communication is limited. This work introduces A…