Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

Explore some of this space-related Open Access research.

Or explore all Open Access research content...

Browse by Author or creator

Group by: Publication Date | Item type | No Grouping
Number of items: 7.

Sánchez, Luis and Vasile, Massimiliano (2021) Constrained optimal collision avoidance manoeuvre allocation under uncertainty for subsequent conjunction events. In: 72nd International Astronautical Congress, 2021-10-25 - 2021-10-29, Dubai, United Arab Emirates.

Sánchez Fernández-Mellado, Luis and Vasile, Massimiliano (2021) On the use of machine learning and evidence theory to improve collision risk management. Acta Astronautica, 181. pp. 694-706. ISSN 0094-5765

Greco, C. and Sánchez, L. and Manzi, M. and Vasile, M. (2021) A robust Bayesian agent for optimal collision avoidance manoeuvre planning. In: 8th European Conference on Space Debris, 2021-04-20 - 2021-04-23, ESA/ESOC.

Sanchez Fernandez-Mellado, Luis and Vasile, Massimiliano (2020) Synthetic database of space objects encounter events subject to epistemic uncertainty. Data in Brief, 32. 106298. ISSN 2352-3409

Sánchez Fernández-Mellado, Luis and Vasile, Massimiliano (2020) AI for autonomous CAM execution. In: 71st International Astronautical Congress, 2020-10-12 - 2020-10-14, Virtual.

Sánchez, Luis and Vasile, Massimiliano and Minisci, Edmondo (2020) On the use of machine learning and evidence theory to improve collision risk management. In: 2nd IAA Conference in Space Situational Awareness, 2020-01-14 - 2020-01-16, Hilton Arlington.

Sánchez, Luis and Vasile, Massimiliano and Minisci, Edmondo (2019) AI to support decision making in collision risk assessment. In: 70th International Astronautical Congress, 2019-10-21 - 2019-10-25.

This list was generated on Thu Jan 20 10:37:29 2022 GMT.