VernaCopter addresses the fundamental challenge of ambiguity in natural language commands when controlling robots for complex tasks.

• Introduces a novel approach using Signal Temporal Logic (STL) as a bridge between human language and precise robot instructions
• Significantly improves clarity and reliability of language-based robot control systems
• Eliminates common misinterpretations that plague current LLM-powered robotics
• Enables more intuitive human-robot interactions while maintaining precision

This research marks a critical advancement for engineering applications where natural language interfaces could transform human-robot collaboration in manufacturing, search and rescue, and aerospace operations.

VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications