Andrea Brandonisio

ORCID: 0000-0001-8203-1879
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About
Contact & Profiles
Research Areas
  • Space Satellite Systems and Control
  • Planetary Science and Exploration
  • Astro and Planetary Science
  • Robotics and Sensor-Based Localization
  • Spacecraft Dynamics and Control
  • Optimization and Search Problems
  • Pulsars and Gravitational Waves Research
  • Gamma-ray bursts and supernovae
  • Guidance and Control Systems
  • Advanced Control Systems Optimization
  • Blockchain Technology Applications and Security
  • Astrophysics and Cosmic Phenomena
  • CCD and CMOS Imaging Sensors
  • Aerospace Engineering and Energy Systems
  • Real-time simulation and control systems
  • Currency Recognition and Detection
  • Space exploration and regulation
  • Spam and Phishing Detection
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Fault Detection and Control Systems

Politecnico di Milano
2022-2024

Istituto Nazionale di Fisica Nucleare, Roma Tor Vergata
2024

Institute for Space Astrophysics and Planetology
2024

University of Milan
2020

In recent years, space research has shifted heavily its focus towards enhanced autonomy on-board spacecrafts for on-orbit servicing activities (OOS). OOS and proximity operations include a variety of activities: the focal point this work is autonomous guidance chaser spacecraft shape reconstruction an artificial uncooperative object. Adaptive depends on ability system to build map uncertain environment, figuring out location inside it accordingly determining control law. Thus, navigation...

10.1016/j.asr.2023.07.007 article EN cc-by Advances in Space Research 2023-07-07

Abstract Leading space agencies are increasingly investing in the gradual automation of missions. In fact, autonomous flight operations may be a key enabler for on-orbit servicing, assembly and manufacturing (OSAM) missions, carrying inherent benefits such as cost risk reduction. Within spectrum proximity operations, this work focuses on path-planning reconstruction geometry properties an uncooperative target. The navigation problem is called active Simultaneous Localization Mapping (SLAM)...

10.1007/s40295-021-00288-7 article EN cc-by The Journal of the Astronautical Sciences 2021-11-02

The application of space robotic manipulators and heightened autonomy for ios represents a paramount pursuit leading agencies, given the substantial threat posed by debris to operational satellites forthcoming endeavors. This work presents guidance algorithm based on drl solve manipulator path-planning during motion synchronization phase with mission target. goal is trajectory generation control spacecraft equipped 7-dof manipulator, such that its end effector remains stationary respect...

10.20944/preprints202404.0329.v1 preprint EN 2024-04-04

The application of space robotic manipulators and heightened autonomy for In-Orbit Servicing (IOS) represents a paramount pursuit leading agencies, given the substantial threat posed by debris to operational satellites forthcoming endeavors. This work presents guidance algorithm based on Deep Reinforcement Learning (DRL) solve manipulator path planning during motion-synchronization phase with mission target. goal is trajectory generation control spacecraft equipped 7-Degrees Freedom (7-DoF)...

10.3390/aerospace11050341 article EN cc-by Aerospace 2024-04-25

The exploration of celestial bodies such as the Moon, Mars, or even smaller ones comets and asteroids, is next frontier space exploration. One most interesting attractive purposes from scientific point view in this field, capability for a spacecraft to land on bodies. Monocular cameras are widely adopted perform task due their low cost system complexity. Nevertheless, image-based algorithms motion estimation range across different scales complexities computational loads. In paper, method...

10.3390/aerospace9090503 article EN cc-by Aerospace 2022-09-09

In the last years, several Artificial Intelligence (AI) application studies have been performed to enhance spacecraft Guidance, Navigation and Control (GNC) autonomy. This substantial fast development of machine learning techniques is strongly influencing nowadays aerospace research, especially due increasingly request autonomy in very complex scenarios, as active debris removal, constellation, on-orbit servicing vision-based navigation may be. work based on use deep reinforcement...

10.2514/6.2023-1439 article EN AIAA SCITECH 2022 Forum 2023-01-19

Gamma-ray bursts (GRBs) bridge relativistic astrophysics and multimessenger astronomy. Space–based γ - X-ray wide-field detectors have proven essential for detecting localizing the highly variable GRB prompt emission, which is also a counterpart of gravitational wave events. We studied capability long short GRBs with High Energy Rapid Modular Ensemble Satellites (HERMES) Pathfinder (HP) SpIRIT, namely swarm six 3U CubeSats to be launched in early 2025, 6U CubeSat on December 1 2023....

10.1051/0004-6361/202450006 article EN cc-by Astronomy and Astrophysics 2024-06-07

HERMES (High Energy Rapid Modular Ensemble of Satellites) Pathfinder is a space-borne mission based on constellation six nano-satellites flying in low-Earth orbit (LEO). The 3U CubeSats, to be launched early 2025, host miniaturized instruments with hybrid Silicon Drift Detector/GAGG:Ce scintillator photodetector system, sensitive X-rays and gamma-rays large energy band. will operate conjunction Australian Space Industry Responsive Intelligent Thermal (SpIRIT) 6U CubeSat, December 2023. probe...

10.1117/12.3018259 article EN Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray 2024-08-21

The use of Artificial Intelligence (AI) and in particular Deep Learning (DL) has led to major advances several industries including automotive, agriculture healthcare, disrupting traditional approaches leading a myriad novel ground-breaking applications. space domain also been reached by the innovation potential AI, chiefly Earth Observation Moreover, increasingly more powerful processing units, together with enhanced less computationally intensive AI algorithms, make it possible explore new...

10.5270/esa-gnc-icatt-2023-127 article EN 2023-07-31

Uranus belongs to the category of Ice Giant planets, which are very common among exoplanets; no mission has been dedicated it so far, thus resulting in an approximated knowledge about this system. For reason, a proper study would be useful not only gather new information it, but also increase our Solar System and mechanisms formation evolution planets. Given lack system, solution here proposed is result trade-off aimed maximize scientific return giving look at engineering aspects, i.e....

10.2514/6.2020-1920 article EN AIAA SCITECH 2022 Forum 2020-01-05
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