SuperNav: An Agentic Navigation System for Any Task in Any Scene

arXiv:2610.12126 · cs.RO, cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.RO, cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Project page: https://zju3dv.github.io/SuperNav/1

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Grounding — 11× in this paper · explained in 3 episodes
• Agent Harness — 6× in this paper · explained in 2 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Agentic System — 2× in this paper · explained in 2 episodes
• AgenticNav — 2× in this paper · explained in 1 episode
• Cooperation — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Agentic Controller — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Computer Vision and Pattern Recognition — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Model Context Protocol — 1× in this paper
• Model Context Protocol (MCP) — 1× in this paper · explained in 8 episodes
• Motion Primitives — 1× in this paper · explained in 2 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
• HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness
• Show-Harness: Just a VLM Agent Can Play Robots
• Inner Monologue: Embodied Reasoning through Planning with Language Models
• AI2-THOR: An Interactive 3D Environment for Visual AI
• AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling Harness
• Flow Matching for Generative Modeling
• InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
• DINOv2: Learning Robust Visual Features without Supervision
• Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
• AstraNav-Memory: Contexts Compression for Long Memory
• StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling
• VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
• SoftNav: Injecting 3D Scene Tokens into VLMs for Embodied Navigation
• OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation
• Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks
• NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

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