Human-Robot Interaction Models for Semi-Autonomous Ground Vehicles

Bourhane Khadmiry

Abstract


As semi-autonomous ground vehicles (SAGVs) continue to evolve, effective Human-Robot Interaction (HRI) becomes crucial for seamless collaboration between operators and machines. This paper explores different HRI models designed to enhance communication, control, and decision-making in SAGVs across diverse operational scenarios. The study examines user interface designs, operator feedback mechanisms, and shared control models, which enable operators to intervene when necessary while allowing the vehicle to operate autonomously for routine tasks. By integrating AI-based decision support systems, our proposed models optimize the balance between human input and autonomous functions, leading to improved safety, performance, and user experience. Experimental results from field trials show that our HRI models significantly enhance operator situational awareness and vehicle responsiveness in both structured and unstructured environments. This work highlights the importance of designing intuitive HRI systems for future SAGV operations in industries such as defense, logistics, and mining.

Keywords


human-robot interaction, semi-autonomous vehicles, shared control, situational awareness

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