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Pedro Lourenço received the B.Sc. and M.Sc. degrees in Aerospace Engineering in 2010 and 2012, respectively, both from Instituto Superior Técnico (IST), Lisbon, Portugal, on the course of which he received the Merit Award. He then received his Ph.D. degree in Electrical and Computer Engineering in 2019 from IST, while being a researcher with the Institute for Systems and Robotics, Associated Laboratory for Robotics and Systems in Engineering and Science. His research interests include mobile robotics, sensor-based SLAM with RGB-D, ranging, and bearing sensors, as well as active estimation. Since 2019, he is with the GNC section of the Space Segment and Robotics business unit of GMV Skysoft, Lisbon, Portugal, where he is a control specialist designing GNC systems for spacecraft.
October 2011 - June 2018
Institute for Systems and Robotics
- Development of localization algorithms for autonomous vehicles: - Vision-based 3-D Simultaneous Localization and Mapping (SLAM); - SLAM with acoustic/EM beacons; - Monocular/bearing-only SLAM; Worked towards my PhD with a thesis titled "Globally Convergent Simultaneous Localization and Mapping: Design Techniques, Analysis, and Implementation" from January 2013 to January 2018 (with defense in 2019). Developed my masters thesis in the same field.
July 2011 - August 2011
- - Involvement on the preliminary stages of the implementation of the airport services management system SGESER; - Evaluation of the airport situation in terms of IATA's levels of reference regarding airport services; - Statistic data recollection, treatment and analysis, as well as creation of predicting models regarding the bus parking traffic.
September 2007 - December 2018
- - Management of the Production Part Approval Processes to several new automotive projects in the company, handling and generating statistical and operational data. - Development of the Quality Management System to achieve ISO9001:2015 certification. - Design of software applications to manage the day-to-day of the manufacturing operations, as well as instititutional obligations to state agencies (Python, MS Access, SQL). - Management and implementation of all the IT solutions used in the company
OPTIMSPACE is an internally-funded research and development activity intended to further the TRL of GNC design resorting to optimization and machine learning tools. The topics addressed include data-driven system identification towards data-driven controller design, NMPC-based constrained attitude guidance, distributed convex MPC for in-orbit assembly, 6DoF NMPC-based formation flying with attitude pointing constraints, agile and adaptive attitude control for small space platforms, in-orbit gyroless attitude determination of uncooperative targets, planning and control of autonomous free-flying robots for in-orbit assembly, etc. This encompasses: developing a deep understanding of the mathematical underlying problems, with selection, formal design, development and testing at MIL-level of the suitable optimization techniques, resorting to state-of-the-art optimization libraries for their implementation in close collaboration with the academic research community. This on-going activity started in late 2020 and is generating solid research efforts, publications, master thesis, and more recently a PhD thesis has started. The developed algorithms and software are to be generic enough to allow adaptation to further scenarios, but tuned and specified for clear applications whenever feasible.
The GUIBEAR project has demonstrated that bearings-only navigation for far-range rendezvous is feasible from the point of view of the G&N. The current G&N design improves on the previously analysed approach to the end of the orbit transfer phase of the LAE when rendezvousing the LOP-G at the small added cost of a delta-V expenditure of few meters per second.
AGOBO is a GMV internally-funded activity to further the TRL of Attitude Guidance using On-board Optimization through an algorithm/software DDVV process. This encompasses: understanding of the problem and formulation and formal translation of constraints and performance objectives, trade-off, identification, selection, design, development and testing of suitable optimization techniques and libraries and their interfaces with the AOCS SW; and the validation of the produced software in a benchmark scenario simulator that interfaces with a compiled version of the software running on a flight-representative target, and which includes a baseline heritage for autonomous guidance to gauge performance and perform comparative analysis. This on-going activity started in early 2020 and is generating consolidated on-board-optimization-based attitude guidance software and supporting libraries to be used in future space systems, as well as framework for testing and benchmarking including a heritage alternative solution. These optimization-based attitude guidance software are to be generic enough to allow adaptation to further scenarios, but are being tuned and having its reliability and performances specifically established for Theseus Mission agile re-targeting slews and Comet Interceptor fly-by target tracking under demanding dynamics and environment.