Answers are grounded in this paper and cite their sources.
The work presents the design of a compact robot intended to help students and visitors locate facilities across a campus. A Raspberry Pi coordinates voice-based destination requests, motor commands, route data, obstacle sensing, and user feedback through a display and speaker. For the initial prototype, routes are registered by manually driving the robot from a known start point and recording directional commands with their durations and motor-speed settings. When a destination is requested, the controller replays the corresponding sequence. An ultrasonic sensor acts as a safety layer: if an object enters the configured stopping range, movement is halted and a buzzer/display warning is issued. This approach avoids the cost and computational demands of a full LiDAR-based mapping stack, making it suitable for controlled indoor corridors where the route and start position remain consistent. The design combines embedded control, human–robot interaction, and reactive obstacle stopping. Prototype trials and measured performance are still required to quantify navigation accuracy and reliability.
No takes yet. Share an insight, caveat, or question.
Jadhav et al. (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: