Kepler-N has received the following awards and nominations. Way to go!

In the XVII century, Johannes Kepler was born on Weil der Stadt, Germany. As a kid, he was incredibly talented with numbers, but was forced to face the crippling of his hands and eyesight by smallpox. His mother, a single parent, took him out frequently at night for star gazing, giving the nearly blind child a burning passion for the void above.
His passion led him through the monumental task of studying the works of great astronomers, conquer his place as the Imperial Mathematician for the Holy Roman Empire, and finally discover the three fundamental laws of celestial mechanics. His work was the basis upon which modern astronomy was built, and in his honor, NASA aptly named the Kepler Space Telescope.
We have chosen this name - Kepler-N - because of exoplanets discovered with the now retired Kepler Space Telescope, named Kepler-1, Kepler-2, and so forth. We believe in a system which will scale solid celestial bodies' exploration and set the keystone on which humanity will reach the stars. And, like our name, we believe these discoveries to be endless in their possibilities.
We thank you for your time and attention and hope you enjoy reading our project!
Regards,
Team Kepler-N
Know the moon and have insights to improve human life. Why not? We are in a hurry, and to better enjoy every second that life offers us, we need to know quickly and live the experience of creating, improving and developing new solutions. Based on our wish, we recognize the need for cheaper, efficient and feasible analyzes in a short time, providing in situ sample screening with information transmissions to Earth, thereby promoting financial, logistical and time saving in missions. Kepler-N is a robotic mission of Kepler Mother and Kepler Babies with a scalable, automated system capable of accurately identifying favorable sampling points, performing in situ screening and transmitting scientific information to the earth, reducing the cost per sample kilogram. Lunar transported for analysis on Earth, shipping time and financial aspect. Thus, the Kepler project impacts on the quality of the analyzes performed, optimization of scientific work and attaches value to lunar findings.
All Apollo missions from Apollo 11 in July 20, 1969 to Apollo 17 in December 7, 1972 brought back a total of 2,196 samples totaling 382 kilograms (842 pounds) [1]. As the missions progressed, the number of samples increased from 58 to 741 - with various rock types which were duly classified after reaching Earth. Through gamma-ray and X-ray fluorescence data from satellites and telescopes, we have interpretations of the global distribution of lunar rock types, which are the basis on which sample collection is based [2].
However, lunar samples are too few; much of lunar history is still shrouded in mystery, as well as its violent past inside our Solar System. There are currently three sources of lunar samples available on Earth - 381.7 kg of rock and soil collected by the Apollo missions, 321g of lunar soil excavated up to 160 cm into the moon surface by the Luna missions; and lunar meteorites collected on the Antarctic ice cap by the U.S.A. and Japan. All of them come together to tell a story which is naturally incomplete, because they only describe a small part of the Moon [2].
This project aims to identify details about the regolith in specific areas of the moon, through the principle of simple analysis by smaller robots chaperoned by a more capable rover - the “Kepler-Babies” and the “Kepler-Mother”. Through analysis of the YUTU Chinese Lunar Rover [3], the retired NASA VIPER (Virtual Intelligent Planetary Exploration Rover) [4] and possible adaptations from the smaller Mars rovers “Spirit” and “Opportunity” [5], we aim to start a minimum viable network of lunar exploration which can scale up to a Moon-wide sampling initiative [6].
The “Kepler-Baby” can also benefit from the development of CEDRA (Meghdari et al., 2005), a rescue rover with its structure similar to the shrimp, based on the genetic algorithm technique for adaptation to the environment. Following this principle, the “Kepler-Baby” is a lunar exploration rover which will be build from simulated genes from successful rovers, such as Curiosity, Lunokhod I, Lunokhod II, Spirit and Opportunity [19].
The problems proposed in the NASA Space Apps Challenge “Eeny, Meeny, Miney, Sample!” are as follows:
You are the astronaut/robotic mission lead tasked with bringing valuable specimens from the Moon back to Earth for further study. How will you evaluate lunar samples quickly and effectively before or while still on the mission? How will you differentiate samples of potential scientific value from less interesting material?
The problem emphasizes the difficulty in evaluating samples in a fast and effective way before or during a mission. Thus, the greatest pain arises from the redundancy of samples, which generate negative impacts of financial and logistical nature.
Through NASA’s own initiative of returning to the Moon by 2024 through Project Artemis [20], as well as the incentive for novel solutions through the Commercial Lunar Payload Services (CLPS) [21], humanity begins to regain a foothold on its closest celestial body. In order to reach the ambitious goal of a five-year schedule, there is a need for cheap, scalable techniques which can precisely analyze the regolith - gathering enough data over where and how to build.
This project’s aims in studying the moon in a cost-effective manner - through automation and large-scale coverage of strategic spots on the surface - is aligned with NASA’s objectives of a safe, successful and efficient human presence on the Moon [23].
With the execution of this project, NASA gains a tool for cheap and thorough analysis in any solid celestial body, which can be applied on further exploration of our Solar System.
According to the challenge of evaluating lunar samples quickly and effectively before a tripulated mission - and classifying samples as to their potential scientific value - Kepler-N plans to make use of established tools already used by NASA in exploration, in a different relationship between mobile elements.
In its Mars Curiosity Rover, NASA already makes use of several tools which project Kepler-N aims to apply in its low-cost, “baby” rovers - mainly the Fourier Transform Infrared Spectoscopy (FTIR) and the Alpha Particle X-ray Spectometer (APXS), which provide a basic but complete analysis of rock&soil; as well as percussion drills, brushes and mechanisms for scooping, sieving and portioning samples of powdered rock and soil [7] [8]. In December 2003, a a smaller and cheaper probe called Beagle 2 was launched, finding problems with solar panel deployment - but demonstrating a safe landing with rovers costing as little as US$80 million each as opposed to US$2.5 billion for the Mars Curiosity rover [9].
As for the larger “mother” rovers, the technology already exists for their mechanical operations - communications by X-band transmitter and receiver which can communicate directly with Earth, and a UHF Electra-Lite software-defined radio for communication with Mars Orbiters. [10]; mobility through six 50cm diameter wheels in a rocker-bogie suspension [11]; scientific instruments include Linear Energy Transfer Spectrometer, Near-Infrared Volatile Spectrometer System, Neutron Spectrometer System and Advanced Neutron Measurements at the Lunar surface, and Ion-Trap Mass Spectrometer for Lunar Surface volatiles are already in use and planned for possible lunar flights in 2019 [12].
Between 1969 and 1972, Apollo astronauts brought 382 kilos / 800 pounds from six landing spots [13] which can be improved today through the use of new technological resources already applied in space missions – making the process of sampling easier through mapping and analysis. Sample value is linked to its particularity, being essential for lunar findings and with unique importance when not found on Earth. Sample element percentages, the potential for water and the possibilities for rare-Earth metals [14] may unveil soil properties and open possibilities for new materials.
This project aims to evaluate and recognize scientific engineering value from each mission through in situ sample evaluation, executing complex analysis only on scientifically relevant samples. It will achieve this objective through a robotic mission which aligns to the capability, sturdiness and improvements upon the NASA rovers VIPER and Mars 2020 and the Chinese Yutu [15].
The construction of the "Kepler-N" with its built-in technological equipment and resources for discernment samples, analyzes, generating results through signs and send the same contribute to the elucidation of the chemical composition of the lunar surface, with promising knowledge for the development of new materials and technological resources for Earth, being of inventive and innovative character the reduced cost with the operation when compared to the already executed processes.
Activity / Phases | 1 | 2 | 3 | 4 | 5 |
Literature review and survey of lunar expeditions data (mappings, analyzes performed, apparatus used, financial values and related). | x | ||||
Definition of the analysis parameters for pre-analytical sample sorting and classifying analysis (Kepler Baby). | x | ||||
Outline analytical sequence and validation processes to be performed on Kepler Mother. | x | x | |||
Creation of genetic algorithm for prototyping of the minimum viable product. | x | x | |||
Kepler-N development and realistic simulation. | x | x | |||
Measurement of Results | x | x |
After the spectrographic analysis of the Moon - performed by the satellite in orbit - a spectral mapping is divided into regions where a bio-inspired algorithm for the discovery of the Kepler Baby’s route is applied. The applied algorithm is based on the bee swarming behavior, also called bee clustering [23]. This can identify optimal routes through various groups of variables.
In order to determine the Kepler-Babies routes before landing, satellite-imaging analysis of the Moon is executed, after which a matrix is generated in which each cell corresponds to a series of characteristics defined by the images. The sets of a cell’s characteristics also correspond to the same region in lunar soil. Afterwards, the bee-clustering bio-inspired algorithm is applied using the following EMMS (Eeny, Meeny, Miney, Sample!) Fitness Function:
The bee-clustering algorithm then creates a group of same-characteristics material and then plots a path between similar groups as to determine Kepler-Baby destination, as illustrated below:
Figure modified from: https://www.flickr.com/photos/nasahqphoto/47421185351/in/album-72157677281368037/
Kepler-Baby, by scanning and obtaining macroscopic information, will be able to identify interesting regions to obtain samples of different natures, such as rocks, their fragments, and dust. In addition to spraying and homogenizing samples, it performs pre-analytical and analytical screening steps on its structure. Samples considered valid are taken for more robust analysis at Kepler-Mother or even stored for future shipments to Earth from the results obtained by the validation algorithm.
The Kepler-Mother specialized analysis station will have storage capacity for samples analyzed by Kepler-Babies, portable X-ray fluorescence spectrometry, X-ray diffractometry (XRD) analysis and other techniques. It also relies on efficient communication with NASA's technology foundations on Earth.
As proposed in the schedule, we intend to develop from a sample validation instrument, performing more robust analyzes while aiming to identify samples of scientific value and potential economic value to the construction of a neural network aiming to unify lunar mapping data. The library with data from gathered control data and analysis grouping in order to obtain answers about the sample validity while eliminating redundancies.
The record of observations, challenges, ideas, descriptions, measurements, annotations, data and results will be recorded in the Project Logbook as to report and measure the team's trajectory during project execution.
One of the main points is the elimination of redundancy in data of collected samples, sending it to Kepler-Mother to be registered and stored for the future. The solution is to apply a clustering algorithm to the data to group and classify it – so that when it already exists in the database it will be discarded in the future by Kepler-Babies.
The following are Kepler-Baby’s and Kepler-Mother's technological and/or innovative suggestions: