Intelligent Precision Jigging Robots (IPJRs) enable a paradigm for ISA that can drastically reduce mission risk and cost while increasing performance. The IPJR paradigm uses: 1) gross positioning using long reach manipulation, and 2) localized, high precision positioning (``jigging'') to support joining. IPJRs provide the latter capabilities, enabling the structure to have simpler components, and reducing the number of tasks that a long reach manipulator needs to accomplish. By reducing the required complexity of the structural elements, IPJRs are more versatile, enabling reuse and lowering costs over time. Each of these features is unique in the field of robotic assembly, and has been previously explored by NASA and the University of Colorado Boulder in the context of a NASA Space Technology Research Fellowship (NSTRF) by the PI. This work also supports a recently-awarded joint NASA-Orbital/ATK TP project. This effort is investigating whether IPJRs and manipulators can assemble, disassemble, and reassemble solar arrays to high precision. ISA of solar arrays has several benefits, including: solar electric propulsion, and reuse/refurbishment missions with components that were not designed for ISA. This effort builds on the results of the 2016 fiscal year - design and construction of IPJR, long reach manipulator, and solar array module prototypes - and will utilize these prototypes for machine learning and state estimation research. The ultimate goal is to advance the state-of-the-art in robust assembly algorithms, utilizing advances in state estimation, object recognition, and solutions to partially-observable Markov decision processes (POMDPs). Assembly is at the intersection of several robotics topics, including simultaneous localization and mapping, path planning, error correction, reinforcement learning, and state classification using supervised and unsupervised learning. Progress and methods developed here are expected to have widespread applicability due to the generality of the robotics problems being addressed, and with respect to assembly, the ubiquity of welding and other general joining techniques in construction.
More »In-space assembly (ISA) of spacecraft systems has been proposed and demonstrated several times as a way of improving aperture size, decreasing deployment risk, assembling systems too large to fit into a single launch vehicle, and enabling repair and upgrade. Assembly of spacecraft components also permits a ``pay-as-you-go'' approach to missions. The International Space Station (ISS) is a good example of ISA operations. ISA will require supporting infrastructure that can deploy, assemble, disassemble, and join. Efficient operations will require long reach, dexterous manipulators and versatile, reusable robots. They must assemble precision structures with a variety of sizes and geometries. Autonomous assembly requires following a sequence, coordination, efficient uncertainty quantification, and robust fault detection and correction.
More »Organizations Performing Work | Role | Type | Location |
---|---|---|---|
Langley Research Center (LaRC) | Lead Organization | NASA Center | Hampton, Virginia |
Naval Research Laboratory (NRL) | Supporting Organization | Other US Government | Washington, District of Columbia |
Orbital ATK Space Systems Group | Supporting Organization | Industry | Dulles, Virginia |
University of California-Riverside | Supporting Organization |
Academia
Asian American Native American Pacific Islander (AANAPISI),
Hispanic Serving Institutions (HSI)
|
Riverside, California |
University of Maryland-College Park (UMCP) | Supporting Organization |
Academia
Asian American Native American Pacific Islander (AANAPISI)
|
College Park, Maryland |
University of Michigan-Ann Arbor | Supporting Organization | Academia | Ann Arbor, Michigan |
University of Pennsylvania | Supporting Organization | Academia | Philadelphia, Pennsylvania |