3 papers
cs.RO2026
OpenFrontier: General Navigation with Visual-Language Grounded Frontiers
Esteban Padilla-Cerdio, Boyang Sun, Marc Pollefeys +1
Open-world navigation requires robots to make decisions in complex everyday environments while adapting to flexible task requirements. Conventional navigation approaches often rely…
cs.RO2026
SYMBOLIZER: Symbolic Model-free Task Planning with VLMs
Sami Azirar, Zlatan Ajanovic, Hermann Blum
Traditional Task and Motion Planning (TAMP) systems depend on physics models for motion planning and discrete symbolic models for task planning. Although physics model are often av…
cs.RO2026
osmAG-LLM: Zero-Shot Open-Vocabulary Object Navigation via Semantic Maps and Large Language Models Reasoning
Fujing Xie, Sören Schwertfeger, Hermann Blum
Recent open-vocabulary robot mapping methods enrich dense geometric maps with pre-trained visual-language features, achieving a high level of detail and guiding robots to find obje…