A Situational Awareness-Driven Human-Machine Interface Framework for Enhancing Operators’ Performance in Agricultural Robotic Teleoperation
Despite the increasing adoption of automated/autonomous guided vehicles (AGVs) in precision agriculture, existing human-machine interfaces (HMIs) remain function-centric, frequently neglecting the cognitive and user experience (UX) needs of non-technical operators. Consequently, current dashboards suffer from limited...