From the 1 of 5 linked papers with an AI index.
5 papers
Joint On-and-Off Policy Learning for Vision-and-Language Navigation
Qingrong He, Lin Zhao, Kevin Zheng +1
The paper presents JOP-VLN, a three-stage training framework that combines off‑policy imitation learning with on‑policy reinforcement learning to improve navigation and error recov…
BAT-Nav: Budget-Aware Arbitration and Termination for Long-Horizon Semantic Navigation
Xi Lin, Kangyi Wu, Jiayi Li +3
Long-horizon semantic navigation asks a robot to localize multiple open-vocabulary targets under a finite action budget. This setting exposes an execution failure that is largely h…
Dual-Anchoring: Addressing State Drift in Vision-Language Navigation
Kangyi Wu, Pengna Li, Kailin Lyu +5
Vision-Language Navigation(VLN) requires an agent to navigate through 3D environments by following natural language instructions. While recent Video Large Language Models(Video-LLM…
Think before Go: Hierarchical Reasoning for Image-goal Navigation
Pengna Li, Kangyi Wu, Shaoqing Xu +5
Image-goal navigation steers an agent to a target location specified by an image in unseen environments. Existing methods primarily handle this task by learning an end-to-end navig…
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
Hang Yin, Xiuwei Xu, Lingqing Zhao +3
In this paper, we propose a general framework for universal zero-shot goal-oriented navigation. Existing zero-shot methods build inference framework upon large language models (LLM…