Presentation + Paper
12 April 2021 μSMET: a lightweight transport robot
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Abstract
Modern robotic technologies enable the development of semiautonomous ground robots capable of supporting military field operations. Particular attention has been devoted to the robotic mule concept, which aids soldiers in transporting loads over rugged terrain. While existing mule concepts are promising, current configurations are rated for payloads exceeding 1000 lbs., placing them in the size and weight class of small cars and ATVs. These large robots are conspicuous by nature and may not successfully carry out infantry resupply missions in an active combat zone. Conversations with active soldiers, veterans, and military engineers have spotlighted a need for a compact, lightweight, and low-cost robotic mule. This platform would ensure reliable last-mile delivery of critical supplies to predetermined rally points. We present a design for such a compact robotic mule, the μSMET. The proposed design envisions a versatile platform, integrated with the Squad Multipurpose Equipment Transport (SMET), which will ferry supplies to soldiers in combat, evacuate the wounded, and help transport loads on a forced march. The μSMET can adjust its geometry to suit specific payloads and adapt to the terrain, is light enough to be carried by a soldier and sturdy enough to evacuate a soldier, and has adequate off-road mobility to follow an infantry unit. The μSMET’s variable geometry enhances mobility over challenging terrain: its rear wheel assembly can expand to increase its stability or contract to reduce its profile. This publication will describe the design and construction of a prototype μSMET.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cristian Adam, Timothy Kleinow, Katharina Grenn, Brian Mason, Oleg Sapunkov, Paul Muench, and Sridhar Lakshmanan "μSMET: a lightweight transport robot", Proc. SPIE 11758, Unmanned Systems Technology XXIII, 1175807 (12 April 2021); https://doi.org/10.1117/12.2588020
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