Print Email Facebook Twitter Human Assisted Robotic Vehicle Studies - A conceptual end-to-end mission architecture Title Human Assisted Robotic Vehicle Studies - A conceptual end-to-end mission architecture Author Lehner, B. (TU Delft BN/Stan Brouns Lab) Mazzotta, D. G. (Politecnico di Torino) Teeney, L. (European Space Agency (ESA)) Spina, F. (European Space Agency (ESA)) Filosa, A. (Argotec S.r.l.) Pou, A. Canals (European Space Agency (ESA)) Schlechten, J. (European Space Agency (ESA)) Campbell, S. (European Space Agency (ESA)) Soriano, P. López (Cologne Game Lab) Date 2017 Abstract With current space exploration roadmaps indicating the Moon as a proving ground on the way to human exploration of Mars, it is clear that human-robotic partnerships will play a key role for successful future human space missions. This paper details a conceptual end-to-end architecture for an exploration mission in cis-lunar space with a focus on human-robot interactions, called Human Assisted Robotic Vehicle Studies (HARVeSt). HARVeSt will build on knowledge of plant growth in space gained from experiments on-board the ISS and test the first growth of plants on the Moon. A planned deep space habitat will be utilised as the base of operations for human-robotic elements of the mission. The mission will serve as a technology demonstrator not only for autonomous tele-operations in cis-lunar space but also for key enabling technologies for future human surface missions. The successful approach of the ISS will be built on in this mission with international cooperation. Mission assets such as a modular rover will allow for an extendable mission and to scout and prepare the area for the start of an international Moon Village. Subject Lunar missionMoon villagePlant growth experimentsTelerobotics To reference this document use: http://resolver.tudelft.nl/uuid:36ef457e-8e15-4590-917c-509fe8c1dddc DOI https://doi.org/10.1016/j.actaastro.2017.08.032 Embargo date 2019-09-25 ISSN 0094-5765 Source Acta Astronautica, 140, 380-387 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2017 B. Lehner, D. G. Mazzotta, L. Teeney, F. Spina, A. Filosa, A. Canals Pou, J. Schlechten, S. Campbell, P. López Soriano Files PDF Human_Assisted_Robotic_Ve ... UDELFT.pdf 809.7 KB Close viewer /islandora/object/uuid:36ef457e-8e15-4590-917c-509fe8c1dddc/datastream/OBJ/view