A. Stolfi

About

A. Stolfi is a leading researcher in space robotics, specializing in the autonomous capture and manipulation of non-cooperative targets—a critical challenge for on-orbit servicing and debris removal. Their work centers on developing advanced control strategies for dual-arm and flexible space manipulators, enabling precise interaction with uncooperative or flexible satellites. Stolfi’s major contributions include a combined impedance-PD control approach for dual-arm systems (70 citations) and a parametric analysis of deployable manipulators for capturing flexible satellites (46 citations), both of which have set benchmarks in the field. They have also pioneered the use of deep learning for on-orbit servicing (15 citations), demonstrating a forward-looking integration of AI into space robotics. Stolfi’s research, with over 170 total citations, is instrumental in advancing autonomous space operations, offering robust solutions for post-grasping manipulation and performance tuning. Their work is essential reading for engineers and researchers tackling the complexities of space debris mitigation and satellite servicing.

Research Focus

Key Achievements

Top Papers

1. 1
   A combined impedance-PD approach for controlling a dual-arm space manipulator in the capture of a non-cooperative target

   70 citations · 2017
2. 2
   A parametric analysis of a controlled deployable space manipulator for capturing a non-cooperative flexible satellite

   46 citations · 2018
3. 3
   A two-arm flexible space manipulator system for post-grasping manipulation operations of a passive target object

   36 citations · 2020
4. 4
   A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator

   15 citations · 2019
5. 5
   Performance Analysis and Gains Tuning Procedure for a Controlled Space Manipulator Used for Non-cooperative Target Capture Operations

   3 citations · 2018

Key Collaborators

Contact & Links