arXiv:2606. 14879v1 Announce Type: cross Abstract: Mobile agents require efficient exploration strategies to map unseen environments and autonomously plan tasks.
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arXiv:2608.29315v1 Announce Type: cross Abstract: This work introduces Semantically-Guided Exploration (SGE), a modular exploration framework for ground vehicles that integrates pixel-level semantic...
DynCur-Geo introduces a dynamic curiosity framework for active geo‑localization, adjusting the intrinsic reward based on the remaining distance to a target. A distance‑aware gate promotes early exploration and transitions the policy toward goal‑directed behavior as the UAV approaches the target, while potential‑based reward shaping provides dense progress guidance. Experiments in multimodal, cross‑scene, disaster‑affected, and long‑range scenarios demonstrate consistent performance gains over existing active geo‑localization baselines.
arXiv:2605. 29563v2 Announce Type: replace Abstract: Can VLMs predict how each camera move changes the view, and plan many such moves ahead?
arXiv:2609.06623v1 Announce Type: cross Abstract: Can exploratory UAV waypoint sequences be generated from multimodal onboard observations and a fixed-dimensional recurrent internal state without mai...
arXiv:2607. 20785v1 Announce Type: cross Abstract: Deploying navigation systems at scale requires a recipe that minimizes sensor assumptions, generalizes across robot embodiments, and trains efficiently.
arXiv:2609.38383v1 Announce Type: cross Abstract: Random exploration reveals how an environment can be traversed before a goal is specified. Can this experience support long-range planning without po...