3 accepted papers
Object-Goal Navigation (OGN) in complex domestic environments remains challenging due to spatial memory and semantic uncertainties. To address this, we introduce EMKG, an embodied multimodal memory knowledge graph framework that enables open-world navigation. In contrast to conventional vision-langu
Existing Multimodal Large Language Models (MLLMs) process a large number of visual tokens, leading to significant computational costs and inefficiency. Instruction-related visual token compression demonstrates strong task relevance, which aligns well with MLLMs’ ultimate goal of instruction followin…
General-purpose object placement is a fundamental capability of an intelligent generalist robot: being capable of rearranging objects following precise human instructions even in novel environments. This work is dedicated to achieving general-purpose object placement with "something something" instr