Author

Ke Mu

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Preprint Oct 2026

LERR-Nav: Learning to Coordinate Exploration, Recovery, and Reminiscing for Object Navigation

Object Navigation in unseen environments remains a fundamental challenge in embodied AI, as it requires agents to generalize visual and spatial reasoning to novel layouts. While recent advances in large language model (LLM) and vision-language model (VLM) have enhanced semantic mapping, spatial memory, and waypoint sel...

Jing-Zhi Huang, Jun-Kai Huang, Yu-Hang Peng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PTC-Decoder: Towards Intelligent SLMs on Offline Resource-Constrained Edge Devices

PTC-Decoder (Plan-Tool Constrained Decoder), a training-free, plug-and-play decoder framework that combines a Plan-to-Act paradigm and a deterministic finite automaton that imposes token-level hard constraints on tool names while preserving freedom over parameter generation, thereby retaining SLM reasoning capability,...

Ming-Hui Yu, Ke Mu, Gang Wu · 0 citations