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QuEST: Qualifying Environmentally Sustainable Technologies

TEERM focuses its validation efforts on technologies that have shown promise in laboratory testing, but lack testing under realistic or field environment. Mature technologies have advantages over those that are still in the developmental stage such as being more likely to be transitioned into a working environment. One way TEERM begins to evaluate the suitability of technologies is through Technology Readiness Levels (TRLs). TRLs are a systematic metric/measurement system that supports assessments of the maturity of a particular technology and the consistent comparison of maturity between different types of technology. TEERM generally works on demonstrating/validating alternatives that fall within TRLs 5-9. In instances where a mature technology does not exist for a particular Agency application, TEERM works with technology development groups and programs such as NASA's Innovative Partnerships Program (IPP). The IPP's purpose is to identify and document available technologies in light of NASA's needs, evaluate and prioritize those technologies, and reach out to find new partners. All TEERM projects involve multiple partners. Partnering reduces duplication of effort that otherwise might occur if individuals worked their problems alone. Partnering also helps reduce individual contributors' shares of the total cost of technology validation. Through collaboration and financial commitment from project stakeholders and third-party sources, it is possible to fully fund expensive demonstration/validation efforts.

Brown, Christina

Excavator Design Validation

The Excavator Design Validation tool verifies excavator designs by automatically generating control systems and modeling their performance in an accurate simulation of their expected environment. Part of this software design includes interfacing with human operations that can be included in simulation-based studies and validation. This is essential for assessing productivity, versatility, and reliability. This software combines automatic control system generation from CAD (computer-aided design) models, rapid validation of complex mechanism designs, and detailed models of the environment including soil, dust, temperature, remote supervision, and communication latency to create a system of high value. Unique algorithms have been created for controlling and simulating complex robotic mechanisms automatically from just a CAD description. These algorithms are implemented as a commercial cross-platform C++ software toolkit that is configurable using the Extensible Markup Language (XML). The algorithms work with virtually any mobile robotic mechanisms using module descriptions that adhere to the XML standard. In addition, high-fidelity, real-time physics-based simulation algorithms have also been developed that include models of internal forces and the forces produced when a mechanism interacts with the outside world. This capability is combined with an innovative organization for simulation algorithms, new regolith simulation methods, and a unique control and study architecture to make powerful tools with the potential to transform the way NASA verifies and compares excavator designs. Energid's Actin software has been leveraged for this design validation. The architecture includes parametric and Monte Carlo studies tailored for validation of excavator designs and their control by remote human operators. It also includes the ability to interface with third-party software and human-input devices. Two types of simulation models have been adapted: high-fidelity discrete element models and fast analytical models. By using the first to establish parameters for the second, a system has been created that can be executed in real time, or faster than real time, on a desktop PC. This allows Monte Carlo simulations to be performed on a computer platform available to all researchers, and it allows human interaction to be included in a real-time simulation process. Metrics on excavator performance are established that work with the simulation architecture. Both static and dynamic metrics are included.

Pholsiri, Chalongrath