An exploration on intuitive interfaces for robot control based on self organisation

This paper explores the application of self-organisation principles to the design of intuitive interfaces for robot control. We present a novel control mechanism inspired by behaviour-based robotics that adapts to both the user and the robotic morphology. By leveraging concepts from adaptive systems and collective behaviour, we develop control interfaces that dynamically organise themselves based on user interaction patterns. The approach allows for the emergence of personalised control schemes without explicit programming, creating more natural and effective human-robot interactions. The architecture enables users to shape control motifs according to their preferences, eliminating the need to learn specific device operations or understand complex operational manuals. Our prototype demonstrates how self-organising interfaces can significantly reduce the learning curve for novice users while maintaining precise control capabilities for complex robotic systems. The results suggest a promising direction for next-generation human-robot interfaces that adapt to individual users rather than requiring users to adapt to predefined control paradigms, introducing a new level in the taxonomy of human-in-the-loop systems.

Artificial Life and Intelligent Agents: First International Symposium, ALIA 2014