Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation
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Abstract (arXiv)
Humans navigate unfamiliar environments using episodic simulation and episodic memory, which facilitate a deeper understanding of the complex relationships between environments and objects. Developing an imaginative memory system inspired by human mechanisms can enhance the navigation performance of embodied agents in unseen environments. However, existing Vision-and-Language Navigation (VLN) agents lack a memory mechanism of this kind. To address this, we propose a novel architecture that equips agents with a reality-imagination hybrid memory system. This system enables agents to maintain and expand their memory through both imaginative mechanisms and navigation actions. Additionally, we design tailored pre-training tasks to develop the agent's imaginative capabilities. Our agent can imagine high-fidelity RGB images for future scenes, achieving state-of-the-art result in Success rate weighted by Path Length (SPL).
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 28 of its 36 references that are in the map. First posted on arXiv 30 Nov 2024.
Builds on
28 of 36 references.
References · 28
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16 more
- 2018Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networkscited by 289
- 2021History Aware Multimodal Transformer for Vision-and-Language Navigationcited by 268
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Built on by
Citing papers per year: 2025: 6; 2026: 2.
8 papers.
- 2025Memory in the Age of AI Agentscited by 285
- 2025Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigationcited by 16
- 2025Neural Brain: A Neuroscience-inspired Framework for Embodied Agentscited by 10
- 2025Generalizable Prompt Learning of CLIP: A Brief Overviewcited by 3
- 2025Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigationcited by 3
- 2025Enhancing Target-unspecific Tasks through a Features Matrixcited by 2
- 2026Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Inductioncited by 0
- 2026Systematic Multi-Agent Vision-and-Language Navigation: Formulation, Benchmark, and Methodcited by 0
- 2026Systematic Multi-Agent Vision-and-Language Navigation: Formulation, Benchmark, and Method28 Sep 2026
- 2026Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Induction18 May 2026
- 2025Memory in the Age of AI Agents15 Dec 2025
- 2025Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation9 Oct 2025
- 2025Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation27 May 2025
- 2025Neural Brain: A Neuroscience-inspired Framework for Embodied Agents12 May 2025
- 2025Enhancing Target-unspecific Tasks through a Features Matrix6 May 2025
- 2025Generalizable Prompt Learning of CLIP: A Brief Overview3 Mar 2025