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cs.RO2025
ActiveVLN: Towards Active Exploration via Multi-Turn RL in Vision-and-Language Navigation
Zekai Zhang, Weiye Zhu, Hewei Pan +4
The Vision-and-Language Navigation (VLN) task requires an agent to follow natural language instructions and navigate through complex environments. Existing MLLM-based VLN methods p…
cs.CV2025
Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors
Xiangchen Wang, Jinrui Zhang, Teng Wang +2
Recent advancements in large video-language models have revolutionized video understanding tasks. However, their efficiency is significantly constrained by processing high volumes…
cs.RO2025
: Toward Versatile Embodied Agents
Shengli Zhou, Xiangchen Wang, Jinrui Zhang +5
Embodied agents have demonstrated promising capabilities in interacting with physical environments. Yet, versatile embodied agents face three core bottlenecks: dynamic environmenta…