Hildebrand, RobertKomendera, ErikMoser, JoshuaHoffman, Julia2022-03-252022-03-252022-02-252296-9144PMC8914470709905 (PII)http://hdl.handle.net/10919/109440The development of autonomous robotic systems is a key component in the expansion of space exploration and the development of infrastructures for in-space applications. An important capability for these robotic systems is the ability to maintain and repair structures in the absence of human input by autonomously generating valid task sequences and task to robot allocations. To this end, a novel stochastic problem formulation paired with a mixed integer programming assembly schedule generator has been developed to articulate the elements, constraints, and state of an assembly project and solve for an optimal assembly schedule. The developed formulations were tested with a set of hardware experiments that included generating an optimal schedule for an assembly and rescheduling during an assembly to plan a repair. This formulation and validation work provides a path forward for future research in the development of an autonomous system capable of building and maintaining in-space infrastructures.Pages 709905application/pdfenCreative Commons Attribution 4.0 Internationalautonomous robotic assemblyin-space assemblymarkov decision processmixed integer programmingstochastic assembly environmenttask allocationtask sequencing0801 Artificial Intelligence and Image Processing0906 Electrical and Electronic EngineeringArticle - Refereed2022-03-25https://doi.org/10.3389/frobt.2022.7099059Hildebrand, Robert [0000-0002-2730-0084]Komendera, Erik [0000-0001-6760-6662]352809602296-9144