Lightweight Robotic Excavation
National Aeronautics and Space Administration
Agency Tracking Number:
Solicitation Topic Code:
Small Business Information
Astrobotic Technology, Inc.
4551 Forbes Avenue, Pittsburgh, PA, 15213-3524
Socially and Economically Disadvantaged:
AbstractRobust, lightweight, power-efficient excavation robots are mission enablers for lunar outposts and surface systems. Lunar excavators of this type cost-effectively utilize native materials for both outpost preparation and in-situ resource utilization. They address the need for implements that dig, collect, transport, and dump lunar soil. Past prototypes, while providing valuable insights, have either been too large, too slow, or had too little pound-for pound regolith moving capacity (payload ratio) to be real options for a lunar outpost. Novel designs incorporating dump beds, high-speed driving, and composite materials are game changers, making lightweight excavation robots advantageous for lunar site and surface work. Performance of elemental actions such as digging or driving has been studied, but it is performance in achieving a site-level task like berm building that matters. This proposal team has identified payload ratio and driving speed as dominating parameters governing site work. This has been done by creating and applying a task-level simulator, REMOTE (Regolith Excavation, Mobility & Tooling Environment), for a prior NASA contract. Current excavation force models do not adequately address cohesion and soil-tool friction within a lunar-relevant regime, as this work proposes to do. Trade studies and prototypes of lunar excavators are informative, but direct controlled comparisons of configuration options (ex. loader or dozer) will yield the best means of choosing a real design. The Technology Readiness Level (TRL) at the beginning of the proposed Phase I work is 2. The anticipated results of Phase I include a prototype design as well as experimental data supporting the feasibility of the concept, bringing the TRL to 3. Phase II will result in a completed prototype that will be used to validate predictions of key parameters, bringing the TRL to 4.
* information listed above is at the time of submission.