Gesture-Based Human-in-the-Loop Control of Space Exploration Vehicle Convoys

Abstract

The deployment of multi-robot systems for planetary surface operations is essential as space exploration initiatives grow in scale and complexity. Coordinated convoys of rovers hold promise for a range of critical missions, including scientific exploration, material transport, infrastructure construction, and emergency response. However, enabling robust inter-rover communication and dynamic coordination in uncertain, unstructured environments presents technical and human factors challenges. This research is aimed at the development of a gesture-based control architecture tailored for human-in-the-loop space exploration vehicle convoys. The system demonstrates a framework in which a lead vehicle is driven by the human operator using a conventional steering wheel, while a trailing rover receives high-level commands via hand gestures detected through a wearable technology. This approach leverages intuitive interactions to minimize cognitive load while maintaining operational efficiency. When gesture input is not actively provided, the semi-autonomous rover defaults to a reactive mode, synchronizing its speed and trajectory with the lead vehicle to preserve formation and maintain convoy integrity. A Microsoft HoloLens 2 Heads-Up Display (HUD) provides contextual information to the operator via augmented reality (AR) visualizations. A real-time cognitive workload estimation module integrates cardiovascular physiological signals-specifically heart rate and heart rate variability-into a fuzzy logic framework for shared control in convoy operations. This enables real-time adaptation of vehicle control authority based on the driver’s cognitive state. Effectiveness of this novel interface design has been validated in simulation and hardware utilizing small scale autonomous vehicles.

Publication
2026 IEEE Aerospace Conference
James Tukpah
James Tukpah
PhD Candidate
Damla Leblebicioglu
PhD Candidate
Ben Cometto
Ben Cometto
M.S. Student
Katiso Mabulu
Katiso Mabulu
PhD Alumnus
Michael Shaham
Michael Shaham
PhD Alumnus
Taskin Padir
Taskin Padir
Professor, Principal Investigator