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Member of:
Robotic Vehicles and Manipulators Group

Marco Dolci
Member of Technical Staff
(Full description>>)

Biography (more>>)
Marco Dolci joined the Robotic Vehicles and Manipulators Group in 2017 and is working as Robotics Systems Engineer on flight projects.
He is also a Politecnico di Torino Aerospace Engineering PhD candidate collaborating with Thales Alenia Space Italy.
Marco received a MS in Space Engineering, and has experience in space systems, orbital mechanics, attitude determination and control systems, space environment, payloads, and CubeSats. Marco received a BS and MS in Physics with experience in data analysis, antennas, optics, cosmic rays and astrophysics.

Education (more>>)
2014 MS in Space Engineering from Politecnico di Milano
2011 MS in Physics from Universita degli Studi di Milano
2009 BS in Physics from Universita degli Studi di Milano

Professional Experience (more>>)
Robotics Systems Engineer, NASA JPL -
Caltech. Robotic Vehicles and Manipulators Group

Visiting PhD student, NASA JPL - Caltech. Robotic Systems Estimation, Decision, and Control Group

PhD in Aerospace Engineering at Thales Alenia Space Italy

Space systems engineer (internship), NASA JPL - Caltech. Earth, Astronomy, and Physics Mission Formulation Group

Research Interests (more>>)
Robotics systems, orbital manipulation mechanisms, robotic orientation, space systems engineering, flight systems systems engineering

Selected Publications (more>>)

R. Mukherjee, B. Chamberlain-Simon, N. Abcouwer, R. Mc Cormick, R. Smith, T. Frederick, M. Dolci, "Concepts for Mars On-Orbit Robotic Sample Capture and Transfer," 2017 IEEE Aerospace Conference, Montana, USA, 04-11 March 2017.

G. Genta, M. Dolci, "Robotic gripper for payload capture in low Earth orbit," ASME 2016 International Machanical Engineering Congress & Exposition", IMECE 2016-65429, Phoenix (AZ USA), 11-17 November 2016.

M. Dolci, A. Romero-Wolf, S. Wissel, "What number of cosmic ray events do we need to measure source catalogue correlations?," Journal of Cosmology and Astroparticle Physics. arXiv: 1509.04356v1. Impact factor 5.81, 18 October 2016.

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