arXiv Computer Vision
AnchorGUI: Asymmetric Memory for Dual-Scale Learning in GUI Navigation
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arXiv AI
Jun 2
Dual-Anchoring: Addressing State Drift in Vision-Language Navigation
arXiv:2604. 17473v3 Announce Type: replace-cross Abstract: Vision-Language Navigation(VLN) requires an agent to navigate through 3D environments by following natural language instructions.
arXiv AI
1d ago
AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation
AVERT-VLN introduces a closed‑loop framework for vision‑and‑language navigation that incorporates an abstention‑aware Monitor to detect instruction‑execution inconsistencies. The Monitor is trained on a new LOSTNAV dataset of 20K counterfactual risk trajectories and fine‑tuned on 40K normal trajectories to recognize semantic deviations. During deployment, the Monitor can suspend autonomous navigation and request human guidance, while offline preference learning uses deviation‑associated failures to improve the policy, achieving 76.2% and 66.3% success on R2R‑CE and RxR‑CE unseen splits.
arXiv AI
Jul 14
ABot-N1: Toward a General Visual Language Navigation Foundation Model
arXiv:2607. 10383v1 Announce Type: cross Abstract: Visual Language Navigation foundation models aim to unify deep reasoning for grounded spatial decisions with broad versatility for diverse embodied tasks.
arXiv AI
Jun 19
SPOT-E: Test-Time Entropy Shaping with Visual Spotlights for Frozen VLMs
arXiv:2606. 20244v1 Announce Type: cross Abstract: Vision-language models (VLMs) often underperform on evidence intensive tasks because decisive visual evidence are small, localized, and easy to overlook, leading to failures in evidence readout even when high-level reasoning is intact.
arXiv AI
Jun 3
PHASER: Phase-Aware and Semantic Experience Replay for Vision-Language-Action Models
arXiv:2606. 03598v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have achieved remarkable success in language-conditioned robotic manipulation.
arXiv Computer Vision
2d ago
EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies
arXiv:2606.20092v3 Announce Type: replace Abstract: Memory remains a critical bottleneck for long-horizon robotic manipulation, as standard Vision-Language-Action (VLA) policies often fail when task-...