Design and Development of a Modular Bucket Drum Excavator for Lunar ISRU
Simon Giel, James Hurrell, Shreya Santra, Ashutosh Mishra, Kentaro Uno, Kazuya Yoshida
TL;DR
ISRU-driven lunar exploration requires efficient regolith excavation; this paper develops a modular bucket drum excavator compatible with the MoonBot platform. The design integrates excavation, loading, and haulage in a single tool, using spiral bucketing to minimize material loss and reduce reaction forces. Sandbox experiments quantify storage capacity, continuous and batch excavation rates, and energy per kilogram, with continuous rates around 778 kg/h and Dragon-enabled rates near 839 kg/h. Limitations include absence of sensing and autonomous control, but MoonBot modularity supports alternative architectures and distributed excavation approaches. The work demonstrates a compact, low-maintenance tool with promising system-level potential for lunar ISRU and informs future sensorized and autonomous developments.
Abstract
In-Situ Resource Utilization (ISRU) is one of the key technologies for enabling sustainable access to the Moon. The ability to excavate lunar regolith is the first step in making lunar resources accessible and usable. This work presents the development of a bucket drum for the modular robotic system MoonBot, as part of the Japanese Moonshot program. A 3D-printed prototype made of PLA was manufactured to evaluate its efficiency through a series of sandbox tests. The resulting tool weighs 4.8 kg and has a volume of 14.06 L. It is capable of continuous excavation at a rate of 777.54 kg/h with a normalized energy consumption of 0.022 Wh/kg. In batch operation, the excavation rate is 172.02 kg/h with a normalized energy consumption of 0.86 Wh per kilogram of excavated material. The obtained results demonstrate the successful implementation of the concept. A key advantage of the developed tool is its compatibility with the modular MoonBot robotic platform, which enables flexible and efficient mission planning. Further improvements may include the integration of sensors and an autonomous control system to enhance the excavation process.
