Mind over Space: Can Multimodal Large Language Models Mentally Navigate?
Mind over Space: Can Multimodal Large Language Models Mentally Navigate? explores A new model and benchmark for enabling multimodal LLMs to perform spatial reasoning and mental navigation in embodied agents.. Commercial viability score: 7/10 in Embodied Agents.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisCMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory RetrievalViability: 3.0
- Builds On ThisMentisOculi: Revealing the Limits of Reasoning with Mental ImageryViability: 2.0
- Builds On ThisDo MLLMs Really Understand Space? A Mathematical Reasoning EvaluationViability: 5.0
- Builds On ThisFeeling the Space: Egomotion-Aware Video Representation for Efficient and Accurate 3D Scene UnderstandingViability: 3.0
- Builds On ThisGeoSense: Internalizing Geometric Necessity Perception for Multimodal Reasoning