SuperNav

SuperNav is an agentic navigation system that handles diverse tasks and scenes using a pretrained multimodal model.

SuperNav is an agentic navigation system designed for diverse tasks and scenes, ranging from finding objects and visiting multiple targets to fulfilling high-level requests. A pretrained multimodal model directs navigation through tool use, task-progress tracking, and context management without requiring navigation-specific fine-tuning. It turns each model decision into motion to navigate scenes effectively. The system is developed by researchers from Zhejiang University, Shenzhen University, and Causa Robotics. Experiments demonstrate higher success rates than evaluated baselines on single-object, multi-object, and demand-driven navigation, alongside real-world deployment on a quadruped robot.

SuperNav at a glance

Best for: Software engineer
Pricing: Free
Released: October 2026
Category: AI agent tool
Website: zju3dv.github.io

Key features

Agentic navigation for diverse tasks and scenes
Pretrained multimodal model integration
Tool use for navigation control
Task-progress tracking and context management
Single-object and multi-object navigation
Demand-driven navigation for high-level requests
Real-world deployment on quadruped robots

Use it for

Finding specific single objects in a scene
Visiting multiple targets in order
Fulfilling high-level demand-driven requests
Operating on physical quadruped robots

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