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cs.RO2025
MOON: Multi-Objective Optimization-Driven Object-Goal Navigation Using a Variable-Horizon Set-Orienteering Planner
Daigo Nakajima, Kanji Tanaka, Daiki Iwata +1
This paper proposes MOON (Multi-Objective Optimization-driven Object-goal Navigation), a novel framework designed for efficient navigation in large-scale, complex indoor environmen…
cs.RO2025
LGR: LLM-Guided Ranking of Frontiers for Object Goal Navigation
Mitsuaki Uno, Kanji Tanaka, Daiki Iwata +3
Object Goal Navigation (OGN) is a fundamental task for robots and AI, with key applications such as mobile robot image databases (MRID). In particular, mapless OGN is essential in…
cs.RO2025
Multi-Robot Data-Free Continual Communicative Learning (CCL) from Black-Box Visual Place Recognition Models
Kenta Tsukahara, Kanji Tanaka, Daiki Iwata +1
In emerging multi-robot societies, heterogeneous agents must continually extract and integrate local knowledge from one another through communication, even when their internal mode…