Vision-Language Grounded Multi-Robot Coordination and Navigation

Work in Progress

This project develops a multi-robot coordination system that integrates vision and natural language processing for collaborative navigation in dynamic environments.

Overview

The system enables multiple robots to understand visual scenes, interpret natural language commands, and coordinate their navigation in dynamic environments. Key focus areas include real-time adaptation to changing conditions and collaborative task execution.

Key Capabilities

• Vision-Language Integration: Multimodal understanding for scene interpretation
• Dynamic Navigation: Real-time path planning in changing environments
• Multi-Robot Coordination: Distributed algorithms for team collaboration
• Natural Language Interface: Intuitive command interpretation
• Adaptive Behavior: Response to dynamic environmental conditions

Technical Approach

Core Components

• Vision-Language Models: Multimodal understanding for scene interpretation
• Dynamic Navigation: Collision-free path planning with real-time adaptation
• Coordination Algorithms: Distributed decision-making for multi-robot teams
• Communication Framework: Real-time inter-robot coordination

Focus Areas

• Navigation in dynamic environments with moving obstacles
• Real-time adaptation to changing conditions
• Scalable coordination for varying team sizes
• Integration of visual and linguistic information for decision-making

Applications

• Warehouse automation and logistics
• Search and rescue operations
• Service robotics in dynamic environments
• Smart manufacturing and assembly