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Chinese Academy of Sciences
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TimeThink revolutionizes video reasoning by enabling models to pinpoint relevant temporal evidence with unprecedented accuracy, outperforming existing approaches.
NavWM redefines navigation by combining perception, generation, and control into a single framework, leading to unprecedented improvements in planning and foresight.
SurveilNav achieves state-of-the-art navigation success rates by seamlessly integrating robot perception with multi-view surveillance, transforming how robots can navigate complex environments.
Action verification can now be reliably performed in VLA models, reducing the risk of grasp failures and task errors in real-world robotic applications.
LongSpace reveals that integrating explicit spatial memory into MLLMs can dramatically enhance their performance on long-horizon tasks, a critical advancement for applications in autonomous navigation.
Today's best multimodal LLMs still struggle to grasp fine-grained details and reason across multiple entities in images, even with access to external knowledge.
