Stardust Early Stage Researchers

ESR1 – Yirui Wang

Project: Intelligent Uncertainty Treatment in Orbital Mechanics

Yirui Wang was born in Qingdao, China. He accomplished his Bachelor’s Degree in Flight Vehicle Design & Engineering fromthe Dalian University of Technology (DUT) in July 2017. Since September 2017, he is a PhD student in the National Space Science Center, Chinese Academy of Sciences (CAS), with the thesis titled “Optimal Trajectory Design for Asteroid Deflection Missions” (supervisor: Mingtao Li). He was awarded the National Scholarship for Postgraduates in 2019. In previous research work, he mainly focused on the demonstration of novel asteroid deflection strategies, such as “Enhanced Kinetic Impactor” and “Assembled Kinetic Impactor” (presented at the 7th IAA Planetary Defense Conference). In August 2018, he studied as a visiting student in Israel Institute of Technology (Technion). In Jun 2019, he attended 13th IAA Low-Cost Planetary Missions Conference (Toulouse, France) with a presentation titled “Single Lunar Flyby for Reducing reentry speed / Reducing capture energy”.

Since August 2021, Yirui is a Marie Skłodowska-Curie Early Stage Researcher in the Stardust-R project at the University of Strathclyde (supervisor: Prof. Massimiliano Vasile). His work focuses on intelligent uncertainty treatment in orbital mechanics.

In his spare time, he likes playing the trumpet.

ESR1's Project

The key objectives of the project include:

  • to develop computational intelligence techniques for the identification and correlation of anomalies and high risk rare events;
  • to develop methods to optimise the resilience of the space environment to catastrophic events in high traffic regimes;
  • to develop computational efficient techniques to calculate impact and collision probabilities under mixed aleatory/epistemic uncertainty;
  • to develop methods for optimal collision/impact avoidance and disposal maneuvers under uncertainty;
  • to study the deployment, replenishment and disposal of large constellations.

ESR2 – Sai Abhishek Peddakotla

Project: Multi-fidelity demise and survivability modelling of complex re-entry objects

Sai Abhishek Peddakotla was born on the 22nd of May, 1995 in a traditional weaver's family in Yadiki, a small village in the state of Andhra Pradesh and raised in the several areas of Andhra Pradesh throughout his schooling in India. He is a firm believer in “the law of attraction” and derives his motivation from the curiosity and boundless possibilities in space flight. His hobbies and interests include listening to classical guitar and piano music, an avid aficionado of Japanese anime, football, pencil sketching and a fountain pen enthusiast.
He obtained a bachelor's degree in Aerospace Engineering (2012-2016) from Amrita Vishwa Vidyapeetham, Coimbatore, India with a distinction. He obtained a master's degree in Aerospace Engineering specialised in aerodynamics (2016-2018) from the IITK, India where he also earned an Academic Excellence Award for his performance. Majority of his time at IITK during master's degree was oriented towards studying and understanding several particle-based simulation techniques like DSMC and MD under the guidance of Prof. Rakesh Kumar at the Non-equilibrium Flow Simulation Laboratory (NFSL). Before joining his current position, he worked as a “Project Engineer” during 2018-2019 at the Indian Institute of Technology Kanpur (IITK), India with Prof. Rakesh Kumar on several phenomena related to rarefied, re-entry physics from a particle-based computational framework.
Sai Abhishek Peddakotla is currently a Marie Skłodowska-Curie Early Stage Researcher in the “Stardust-R” project and a PhD candidate at the University of Strathclyde, Glasgow, UK. His work focusses on the development and implementation of uncertainty based multi-fidelity approaches for the effective and efficient prediction of the demise of space objects during re-entry. Particular emphasis will be given to understand the relevant fragmentation process under the re-entry aero-thermal environment.

ESR2's Project

This work relates to the development of methods and tools for the design and uncertainty quantification of space objects that are due to completely demise during re-entry. The work associated to this post will investigate both the physics of the re-entry process, including possible fragmentations, and the required computational tools to estimate the footprint of the fragments and the probability of a ground impact.

Research Output:

Manzi, M., Peddakotla,  S. A., Stevenson, E., Vasile, M., Minisci, E., Rodriguez-Fernandez, V., Camacho, D.  (2020). Intelligent Atmospheric Density Modelling for Space Operations. Stardust-R Global Virtual Workshop I, Pisa, Italy, 07-10 September 2020.

ESR3 – Mauricio Misquero

Project: Dynamics of space debris within different orbital elements regions

Mauricio Misquero is originally from Ecuador and moved to Spain when he was a child. His interest in space and astrophysics started during his bachelor degree in Physics at the Complutense University of Madrid. At the end of the degree he had a three months research experience about white dwarfs modelling at the Institute of Space Sciences (ICE) in Barcelona. Mauricio moved to Granada to complete his mathematical training with a master degree in Physics and Mathematics at the University of Granada (UGR) and did his master thesis in celestial mechanics. He worked for six months as telescope operator trainee at the Sierra Nevada Observatory (OSN), CSIC.
Then he started a PhD about dissipative celestial mechanics at UGR. Mauricio wrote three papers so far, one of them during a research stay of five months at the University of Lisbon. Now, he is currently involved in a dual PhD program between UGR and University of Rome Tor Vergata, under the co-supervision of Prof. Alessandra Celletti within the Stardust-R MSCA-ITN.

But life is more than research, so in his free time Mauricio enjoy with friends, music, literature and cinema.

ESR4's Project

Analysis of lunisolar resonances, including the effect of solar radiation pressure; investigation of highly eccentric objects (HEO), which might be affected by conservative and dissipative forces along their orbits, according to the altitude as the eccentricity varies; study of highly inclined objects.

Research Output:

Margheri, A. and Misquero, M. , A dissipative Kepler problem with a family of singular drags. Celest Mech Dyn Astr 132, 17 (2020), preprint available at

Ortega, R. and Misquero, M. (2020), Some Rigorous Results on the 1:1 resonance of the spin-orbit Problem, SIAM J. Appl. Dyn. Syst., 19(4), 2233–2267, preprint available at

Misquero, M. (2020), The spin-spin model and the capture into the double synchronous resonance, Nonlinearity, 34, 2191, preprint available at

ESR4 – Tudor Vartolomei

Project: Proper elements for Space Debris

Tudor Vartolomei was born in 1995 in Vaslui, Romania. He studied Applied Mathematics at the Alexandru Ioan Cuza University of Iasi, from which he graduated in 2019. He had the BSc thesis in the field of Dynamical Systems (Fluid Dynamics) and the MSc thesis in the field of Machine Learning(Statistics and Optimization). His research interests include Celestial Mechanics, Hamiltonian Systems, Perturbation Theory and Numerical Methods. Tudor is currently an Early Stage Researcher in the “Stardust-R” project at the University of Rome “Tor Vergata”, where he is also a PhD student.
His work focuses on the calculation of proper elements of space debris.

ESR4's Project

Characterization of the populations of space debris by using techniques of perturbation theory (normal forms); study how orbit determination uncertainty propagates for control and mitigation of space debris; implement perturbation theory to extend, to the fully non-linear regime, linear variational methods currently used for determination of the growth in time of separation between nearby orbits.

Research Output:

Celletti, G. Pucacco, T. Vartolomei, Proper elements for space debris, submitted to Celestial Mechanics and Dynamical Astronomy. (Submitted, December 2020).

ESR5 – Edoardo Legnaro

Project: Resonant long term dynamics and the chaotic diffusion of space debris

Edoardo Legnaro was born in 1994. He has obtained his Master’s Degree in Mathematics from the Università degli Studi di Padova – Dipartimento di Matematica “Tullio Levi Civita” in July 2018. He accomplished his graduate thesis on “Numerical Contribution to the Hierarchical Three Body Problem” (Advisor: Gabriella Pinzari). His work provided a numerical investigation of the motions of the planar hierarchical three body problem, regarded as a perturbation of the integrable planar two fixed centre problem. In this approach, a second order normal form was computed, and the associated phase portraits were provided for both the first and the second order normal form approximations. These were compared to the phase portrait for the full (non-averaged) Hamiltonian of the two fixed centre problem. He accomplished his 3-year Bachelor’s Degree in Mathematics in the same department in 2016, with a diploma thesis on a “Perturbative Study of the Euler-Poinsot Rigid Body problem” (thesis advisor: Francesco Fassò). While graduate student, he participated in a seminar consisting of special lectures in Hamiltonian dynamical systems, symplectic geometry and symplectic topology (speakers: Arbaud, Benedetti, Fathi, Humilière). He has a Diploma in Classical Guitar from the Conservatorio Statale di Musica “C. Pollini” di Padova (2016) and is he has made guitar performances in several countries in Europe.

Since October 2019, he works as Early Stage Researcher of the project StarDust-R, holding the ESR5 position at the Research Center for Astronomy and Applied Mathematics of the Academy of Athens. His work is on the characterization of the long-term resonant dynamics and chaotic diffusion of space debris.

ESR5’s Project

To study the long-term diffusion of space debris within the chaotic layers produced by overlapping resonances at altitudes between 3 and 7 Earth radii (covering mostly the MEO and GEO domains); To provide analytical tools for the quantification of the diffusion rate, based on estimates of the size of the leading remainder terms of the normal form; To identify initial conditions leading to orbits undergoing nearly-ballistic motion along resonances; To propose mitigation strategies for space debris exploiting the fastest (hyperbolic) directions in phase space where resonant diffusive dynamics takes place.

Research Output:

ESR6 – Roberto Paoli

Project: Disposal orbits and asteroids debris

Roberto Paoli was born in Pisa, Italy, on January 30, 1991, but he has lived for most of his life in Livorno, a city on the west coast of the Italian peninsula.

He obtained a Master's degree in Mathematics from the University of Pisa in 2019, with a master thesis titled “Chaos in the Anisotropic Kepler Problem”, under the supervision of Prof. Claudio Bonanno.
During his time at the University of Pisa he was part of the Physical Mathematics Working Group of the Department of Mathematics, and he took part in activities such as the Settimana Matematica (Mathematical Week), an outreach activity for high school students.

In the summer of 2019 he was selected as an ESR in the Stardust-R Project, and he was admitted in the PhD program at the Alexander Ioan Cuza University of Iasi, Romania, where he is currently living.

His research focuses mainly on Hamiltonian systems, Perturbation Theory and their applications to Celestial Mechanics, such as the dynamics of space debris or the motion of a body near an irregularly shaped object.

In his spare time he likes to play music, read and skateboarding.

ESR6's Project

Design disposal orbits through dynamical studies based on the determination of regular and chaotic regions in the parameter space and orbital coordinates; Analyse the dynamics associated to objects with high area-to-mass ratio; Study the dynamics of space debris around asteroids as a generalization of the analysis around the Earth to objects with highly irregular shapes; Disseminate the results obtained.

Research Output:

Peñarroya, P., Vyas, S., Paoli, R., & Kajak, K. M. (2020) Survey of Landing Methods on Small Bodies : Benefits of Robotics Manipulators to the Field. Poster presented at the International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Online. 19-23 Oct. 2020, DOI: 10.5281/zenodo.4275978.

ESR7 -Irene Cavallari

Project: Patching simple dynamics to model a more complex one

Irene Cavallari was born in 1994 and she was raised in Ferrara (Italy). She obtained a Bachelor degree in Science in aerospace engineering at Politecnico di Milano (Italy), in 2016. Then, she participated at a double degree program at Politecnico di Milano and at ISAE Supaero (Toulouse, France). In France, she has been involved in a project aimed at the development of low-energy transfers from the Moon to Mars through Lyapunov orbits, that was presented during the 27th International Symposium on Space Flight Dynamics, in Melbourne. Moreover, she has worked as an intern at the Centre National des Etudes Spatiales (CNES), where she contributed to the development of an autonomous orbital controller.

From November 2019, Irene is Stardust-R Early Stage Researcher and a PhD candidate of the Department of Mathematics at the University of Pisa, (Italy. Her studies focus on the patched integral dynamics to determine if they are suitable to represent more complex dynamical systems.

In her spare time, she loves travelling and reading.

ESR7's Project

Study when a patched integrable dynamics is representative of a more complex one; study how linked integrable solutions can be used in orbit determination; search for a new definition of region of influence of the Earth by studying patching techniques in the restricted three body problem.

Research Output:

Cavallari, I., Gronchi, F.G., & Baù, G. (2020). On the Sun-shadow dynamics. Submitted preprint,

ESR8 -Oscar Rodriguez Del Rio

Project:  Identification and correlation of very short arcs of observations

Óscar was born and raised in Barcelona (Spain). He studied a bachelor's degree in mathematics and a master's degree in advanced mathematics and modelling engineering at the Universitat Politècnica de Catalunya (UPC).
He is currently finishing a PhD in Applied Mathematics at this same university. His PhD thesis focuses on the analytical and numerical study of Celestial Mechanics problems, in particular, he is studying the relation of the ejection and collision orbits with the global dynamics of the RTBP.

Since November 2019, he works as Early Stage Researcher of the project Stardust-R, holding the ESR8 position at the Universirtà di Pisa (Italy).

ESR8's Project

Apply some of the new initial orbit determination (IOD) methods and create a complete OD pipeline which is able to deal with very large database of observations; include in the existing IOD methods some perturbations, e.g., planetary close approaches for asteroids, Earth oblateness
for debris.

Research Output:

ESR9 – Marco Fenucci

Project: Modelling and simulation of small asteroid populations

Marco Fenucci was born in San Miniato, a small village between Pisa and Firenze, on March 24 1992.

He graduated in Mathematics at the University of Pisa in October 2016. In November 2016, he joined the Ph.D in Mathematics in the same university, under the supervision of Prof. Giovanni Federico Gronchi. In October 2018 he visited the University of Barcelona for a period of four months, collaborating with Prof. Ángel Jorba.

In the summer 2019 he was elected as an ESR in the Stardust-R Project at the Faculty of Mathematics of the University of Belgrade. His work will focus on the dynamics and the criticality of small asteroids.

In his spare time he likes running, hiking and reading.

ESR9's Project

Our current knowledge of the orbital and size distribution of a very small asteroids, down to few tens of meters in size may not be fully appropriate. Some available estimations are based only on indirect evidence, such as disruption rate of main belt asteroids. The asteroid belt is also subject to evolutionary processes, but so far, no model has included all the important processes affecting asteroid evolution. Besides, new models still have to be successfully tested against known constraints.

The project will be aiming to better understand the orbital and size distribution of small asteroids, below 100 meters in size. To achieve project's goals the ESR should study dynamical and collisional evolution of asteroids in this size range, combine this in a single self-consistent model, and test the model against all available constraints.

In addition, the ESR will work on characterization of near Earth asteroids and should define a criticality index that provides a measure of how easy the asteroid is to deflect with a given deflection method, and how interesting the asteroid is to explore and to exploit.

Research Output:

Fenucci, M., Novaković, B., Vokrouhlický, D., & Weryk, R. J. (2020). The low thermal conductivity of the super-fast rotator (499998) 2011 PT. Astronomy and Astrophysics,

Fenucci, Marco; Gronchi, Giovanni F., Symmetric constellations of satellites moving around a central body of large mass,

Fenucci, M., Novaković, B. (2021). The role of the Yarkovsky effect in the long-term dynamics of asteroid (469219) Kamo'oalewa. Submitted

Fenucci, M., Novaković, B., Vokrouhlický, D., Weryk, R. J. (2021). Unexpected Thermal Properties of the Near-Earth Object (499998) 2011 PT. Oral presentation at the Lunar and Planetary Science Conference 52, Accepted for Virtual Conference, 15 – 19 March 2021

Fenucci, M., Novaković, B., Vokrouhlický, D., Weryk, R. J. (2021). The low thermal conductivity of the super-fast rotator (499998) 2011 PT. Accepted for oral presentation at the 7th IAA PDC Conference 2021, 26 – 30 April 2021

ESR10 – Shubham Vyas

Project: On-Orbit Servicing with Robotic Manipulators

Shubham Vyas is an Early Stage Researcher within the Stardust Reloaded Marie Curie ITN at the German Research Center for Artificial Intelligence (DFKI). Shubham earned his Bachelors in Aerospace Engineering from SRM University in India and MSc from the Delft University of Technology in the Netherlands. His research within the Stardust-R project is focused on developing and experimentally validating real-time control algorithms for space manipulators to be used in On-Orbit Servicing and Active Debris Removal missions. During his bachelors, he worked on developing an air-bearing testbed for free-floating manipulators. For his Master’s thesis, he researched Uncertainty estimation methods in vision-aided space-to-ground teleoperation systems at the Human Robot Interaction Laboratory at ESA-ESTEC. His professional experience includes working as a Software Engineer at the Netherlands Institute for Space Research (SRON). His research interests are Space Robotics, On-orbit Servicing, Hardware-in-Loop Simulation, Satellite Thermal Control, and Teleoperation systems. In his free time, he enjoys playing Table Tennis, Floorball, and travelling.

ESR10' Project

The ESR will work full-time in the field of space robotics towards the goal of developing and experimentally testing control algorithms for an autonomous free-floating manipulator system to capture and manipulate both non-cooperative and cooperative targets.

The main tasks will be:

Development of on-orbit servicing and active debris removal disposal solutions
Development of a real-time control system for a free-floating space manipulator to ensure the execution of a reference trajectory despite disturbances and parameters uncertainty
Development of control strategies to deal with contact interactions in microgravity and their evaluation using an underwater vehicle
Test final concepts on the flat-floor of the orbital robotics lab of ESTEC-ESA.

Research Output:

Vyas, S., Jankovic, M., & Kirchner, F. (2020) Momentum Based Classification for Robotic Active Debris Removal. Paper presented at the 71st International Astronautical Congress (IAC), Online. 12-14 Oct. 2020, DOI: 10.5281/zenodo.4271515.

Peñarroya, P., Vyas, S., Paoli, R., & Kajak, K. M. (2020) Survey of Landing Methods on Small Bodies : Benefits of Robotics Manipulators to the Field. Poster presented at the International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Online. 19-23 Oct. 2020, DOI: 10.5281/zenodo.4275978.

ESR11 – Karl Martin Kajak

Project: Autonomous Embedded Close-Proximity Navigation System

Karl Martin Kajak was born in Tallinn, Estonia in 1991.

He obtained a Master of Science degree in Aerospace Engineering from Delft University of Technology in 2018. His thesis involved improvements to the control system of a prototype flapping-wing drone known as Delfly Nimble under the supervision of Matěj Karásek, Guido C.H.E. de Croon, and Qiping Chu. In addition, he helped teach dynamics and dynamic simulations at the university. After hours, he was involved in student engineering teams as well as hobby projects with fellow students – notable topics from this period include mechanical designs for the Formula SAE competition, feed system designs for a liquid rocket engine, cryptocurrency mining and building drones.

After graduation, he worked at Delft Dynamics as a development engineer for over a year. There he worked on topics such as a power subsystem for a tethered drone, ultra wideband localization, gimbal stabilization, autopilot software, vision-based navigation, sensor calibration, and more.

He now works at DLR Oberpfaffenhofen with the On Orbit Servicing and Autonomy group of Dr. Heike Benninghoff as an ESR for STARDUST-R, pursuing a PhD degree under the supervision of Jean-Sébastien Ardaens.

His research interests include guidance, navigation, and control of air- and spaceborne robotics, whether it relates to hardware, software, or mathematics.

Hobbies include martial arts, mountainbiking, and computer games.

ESR11' Project

The ESR will work in the field of spaceborne close-proximity navigation towards the goal of developing an embedded navigation system for robust relative state estimation.

The tasks will be:
• Develop algorithms for 3D-reconstruction of a spacecraft.
• Implement robust and accurate methods for 6D pose estimation.
• Fuse several sensors to improve the system performance and robustness.
• Test and validate the algorithms using simulations and experimental facilities.

Research Output:

Peñarroya, S. Vyas, R. Paoli, and K. M. Kajak, Survey of Landing Methods on Small Bodies : Benefits of Robotics Manipulators to the Field, presented at the International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2020., (

ESR12 – Emma Stevenson

Project: Advanced Machine Learning and Computational techniques for Space Traffic Management

Emma Stevenson is a Stardust-R Early Stage Researcher based in the AI+DA (Applied Intelligence and Data Analytics) department at the Universidad Politécnica de Madrid. She is researching how advanced machine learning and artificial intelligence techniques can be applied to automating the decision processes involved in collision avoidance for space debris.

Emma worked for ESA´s Space Debris Office (SDO) at the European Space Operations Centre (ESOC) in Darmstadt, Germany, as a Young Graduate Trainee for the last two years, and will now be continuing her research into the sustainable use of space. During this time, she worked on orbit determination and catalogue unification, as well as re-entry analysis, space debris environment evolution models and other activities carried out by the SDO. It was her involvement in the development of ESA´s machine learning competition for predicting whether a satellite should perform a collision avoidance manoeuvre, that motivated her to further her research in this area within the Stardust-R programme.

Originally, her background is in Physics, specialising in astrophysics and modelling with a Master´s thesis in gravitational wave detection from supermassive black hole binary systems from the University of Birmingham. During her degree, she carried out an internship at the UK Meteorological Office in software engineering for long-term climate models.

ESR12' Project

The main objectives of this project are:

● To develop machine learning techniques to predict collisions, sequences of close encounters and plan collision avoidance manoeuvres.

● To develop methodologies to estimate the risk of the execution of collision avoidance manoeuvres by fusing simulated and historical scenarios.

● To develop methods to fuse multiple sources of information, with different levels of fidelity and reliability.

● To apply these methodologies to support ground operators.

● To develop visualisation and simulation environments to assess the performance of these methods.

Research Output:

Stevenson, E., Rodriguez-Fernandez, V., Minisci, E., Camacho, D. (2020). A Deep Learning Approach to Space Weather Proxy Forecasting for Orbital Prediction. In Proceedings of the 71st International Astronautical Congress (IAC), The CyberSpace Edition, 12-14 October 2020.,

Stevenson, E., Rodriguez-Fernandez, V., Urrutxua, H., Morand, V., Camacho, D. (2021). Artificial Intelligence for All vs. All Conjunction Screening. In Proceedings of the 8th European Conference on Space Debris, 20-23 April 2021. (Accepted).

Manzi, M., Peddakotla,  S. A., Stevenson, E., Vasile, M., Minisci, E., Rodriguez-Fernandez, V., Camacho, D.  (2020). Intelligent Atmospheric Density Modelling for Space Operations. Stardust-R Global Virtual Workshop I, Pisa, Italy, 07-10 September 2020,

ESR13 – Mattia Pugliatti

Project: Small spacecraft for minor bodies exploration and exploitation

Mattia Pugliatti was born in Rho, a small town in the outskirts of Milan, on April 13 1993.

He obtained a Bachelor’s degree in Aerospace Engineering at Politecnico di Milano in 2015. He then continued his studies at TU Delft where he obtained a Master of Science degree in Aerospace Engineering in 2018. During his master studies, he performed a 5 months internship at the Future Programs department at Airbus Defense and Space in Friedrichshafen, working on mission design of low-cost asteroid impactor demonstration mission. He performed his master’s thesis on the Extended Tisserand-Poincaré graph for trajectory design in multi-body systems as a visiting student at Kawakatsu laboratory in ISAS/JAXA for 9 months. During his visiting period, he also worked on the trajectory design of EQUULEUS and DESTINY missions. After the studies he worked for 1 year at GMV in Madrid, where he took part in the GNC tasks of the phase B1 of the HERA mission.

From fall 2019 Mattia is a Stardust-R Early Stage Researcher and Ph.D. candidate at Politecnico di Milano. His work will be focused on small bodies exploration and exploitation with interplanetary CubeSats.

He loves to travel, like to play tennis and listen to music.

ESR13's Project

Within Stardust-R, the ESR will cover the activities involving autonomous Guidance, Navigation, and Control of low-resources systems for exploration and exploitation of small bodies.
The scenario considers exploration and required prospection in view of a possible exploitation achieved through specific missions and related science realised with interplanetary CubeSats.
Autonomous deep-space and close proximity navigation, as well as autonomous orbit guidance and control will be the fundamental areas of research. The activities foresee the design and execution of hardware-in-the-loop experiments using breadboards.


  • To develop models for the simulation of orbit-attitude motion of under-actuated space systems;
  • To formulate novel astrodynamics methods accounting for low-resources, limited authority space systems;
  • To assess operations, autonomy, and navigation accuracy of small satellites in the proximity of small bodies;

Study cases:

1) stand-alone, deep-space CubeSat to a minor body,

2) CubeSat released in situ by a mothership about a minor body.

Research Output:

Pugliatti, M., Topputo, F., (2020), Small-Body shape recognition with convolutional neural network and comparison with excplicit features based methods. 1-20. Paper presented at the AAS/AIAA Astrodynamics Specialist, Lake Tahoe, California, 9-12 August 2020.

Pugliatti, M., Maestrini, M., Di Lizi, P., Topputo, F., (2021), On-board small-body semantic segmentation based on morphological features with U-net. Paper accepted at the 31st AAS/AIAA Space Flight Mechanics Meeting, Charlotte, North Carolina, January 31-Febraury 4 2021.

Pugliatti, M., Topputo, F., (2021), Navigation about irregular bodies through segmentation maps. Paper accepted at the 31st AAS/AIAA Space Flight Mechanics Meeting, Charlotte, North Carolina, January 31-Febraury 4 2021.

Ferrari, F., Franzese, V., Pugliatti, M., Giordano, C., Topputo, F., (2020), Preliminary mission profile of Hera’s Milani CubeSat. Advances in Space Research. (submitted)

ESR14 – Pelayo Peñarroya

Project: Intelligent Navigation and Control System for Minor Celestial Body Descent and Ascent

Pelayo Penarroya was born in Asturias, a region on the north cost of Spain, in 1993.
He obtained his BSc and MSc on Aerospace Engineering at the University of Le´on and TU Delft, respectively. As part of his MSc, he completed his internship at OHB System AG Bremen in the Mission Analysis and Flight Dynamics team. There, he had the opportunity to work on his MSc Thesis ”Investigation of Convex Residual Penalty Functions for Orbit Determination”. After his MSc defence, he started working as a member of the team in Bremen, where he spent two years. Now, Pelayo is a part of the Stardust-R project in the Mission Analysis and Navigation team at Deimos Space, where he will be researching on ”Intelligent Navigation and Control System for Minor Celestial Body Descent and Ascent”, with the objective of investigating innovative adaptive systems for autonomous landing in harsh environments and developing the descent control and navigation systems required.

ESR14's Project

During this project the ESR will investigate innovative adaptive systems for autonomous landing in harsh environments, will develop descent control and navigation systems at minor bodies accounting for high fidelity environment and system models, and will develop strategies to increase system resilience against unexpected events and uncertainties.
Expected results are about the performance evaluation of innovative landing systems on minor bodies, robust landing navigation and control algorithms, and definition of system requirements for landing on minor bodies.

Research Output:

Peñarroya, S. Vyas, R. Paoli, and K. M. Kajak, Survey of Landing Methods on Small Bodies : Benefits of Robotics Manipulators to the Field, presented at the International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2020. (

ESR15 – Stefano Casini

Project: Design and Implementation of Navigation and AOCS Systems for Autonomous CubeSat

Stefano Casini is a Stardust-R ITN Early Stage Researcher at Hyperion Technologies BV and TU Delft, where he is also enrolled as a PhD student in the Space Engineering department. His current work involves the design and validation of autonomous navigation and AOCS systems for deep-space CubeSats. He obtained a BSc in Aerospace Engineering and then a MSc in Space and Astronautical Engineering with honors (cum laude), both from Sapienza University of Rome, from which he also received the 2019 excellent graduate award. He participated two times to the Erasmus+ program: first at Universidad Carlos III of Madrid, Spain, during his 3rd BSc year and then at Instituto Superior Técnico of Lisbon, Portugal, during his 2nd MSc year. He has been an intern at the Italian National Institute for Nuclear Physics (INFN) both for his BSc and MSc thesis: the BSc thesis work focused on mapping and georeferencing lunar of landing sites for laser ranging purposes, while the MSc thesis work focused on the thermal analysis of a spherical laser ranged satellite. After his studies, he has been a post-graduate scholarship holder at INFN, where he continued his thermal analysis work in coupling with mechanical design and testing. He published two journal papers: ‘A Preliminary Design of a Mission to Triton: A Concurrent Engineering Approach’ and ‘Thermal Influence of the Screw Axial Load on a 1-mm Accuracy Laser Ranged Satellite’, excerpt from the MSc thesis, first presented at the 15th PEGASUS conference. In the spare time, he likes playing guitar, doing sports and travelling with his camera.

ESR15's Project

The high-level objective of this project is to address the growing need for a sustainable exploration of space, the resilience of the space environment, the threats and opportunities coming from asteroids and comets and the compelling need for properly trained specialists who can tackle these issues.

Research Output:

Casini, S., Fodde, I., Engelen, S., Monna, B., Cervone, A., & Gill, E. (2020). Towards the Use of Commercial-off-the-Shelf Small-Satellite Components for Deep-Space CubeSats: a Feasibility and Performance Analysis. Paper presented at Small Satellite Conference, Logan (UT), United States, 1-6 August 2020.

Casini, S.; Fodde, I.; Monna, B.; Cervone, A.; Gill, E. Novel 3U Stand-Alone CubeSat Architecture for Autonomous Near Earth Asteroid Fly-By. Aerospace 2021, 8, 9.