SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation
cs.CV
Submitted: 2026-04-30
Updated: 2026-10-17
Comments: Accepted by ACM-MM 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
- Qwen Technical Report
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- Matterport3D: Learning from RGB-D Data in Indoor Environments
- NaVILA: Legged Robot Vision-Language-Action Model for Navigation
- ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
- MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
- Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
- Causal World Modeling for Robot Control
- Think before Go: Hierarchical Reasoning for Image-goal Navigation
- NavForesee: A Unified Vision-Language World Model for Hierarchical Planning and Dual-Horizon Navigation Prediction
- SPAN-Nav: Generalized Spatial Awareness for Versatile Embodied Navigation
- Nav-R1: Reasoning and Navigation in Embodied Scenes
- InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
- DeepSeek-VL: Towards Real-World Vision-Language Understanding
- HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory System
- Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
- VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
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