Human-Robot Communication
Natural language provides an intuitive way for humans to communicate goals, preferences, and constraints to robots without requiring expertise in robotics or formal specification languages. We investigate methods for extracting structured constraints and preferences from everyday language instructions, translating high-level human intent into representations that motion planners and task planners can act upon.
Human-Robot Communication Projects
Publications
- Yammanuru, A. , Lusardi, M. , Amato, N.M. , & Driggs-Campbell, K. (2026). From Legible to Inscrutable Trajectories: (Il)legible Motion Planning Accounting for Multiple Observers. 17th World Symposium on the Algorithmic Foundations of Robotics (WAFR 2026). View publication