Robust & intelligent GNC techniques for autonomous free-flying space manipulators operations

Sampath, Shabadini (Principal Investigator)
Feng, Jinglang (Project Lead)
Vasile, Massimiliano (Project Lead)

Mechanical And Aerospace Engineering

Project: Research - Studentship

Description

To address space sustainability, the removal of failure objects (to reduce the population size) and extension of the operational life of active ones (in orbit servicing) requires the use of proper capturing devices, e.g. space robotic arm. This project aims to develop an intelligent controller to operate a space manipulator to achieve the desired movement considering the large uncertainties in the dynamical environment.

Status	Active
Effective start/end date	1/11/22 → 1/11/26

Keywords

Space Robotics
Artificial Intelligence (AI)
Active debris removal
GNC
Space Sustainability

Access Project

https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/engineering/mechanicalaerospaceengineering/robustintelligentgnctechniques/#supervisors

3 Conference contribution book
2 Proceeding
1 Article

Hybrid control of space manipulators for active debris removal: A comprehensive review
Sampath, S. & Feng, J., 5 Oct 2025, 23rd IAA Symposium on Space Debris.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Deep Neural Network-based Robust Collision Avoidance Control of Space Manipulator for Active Debris Removal
Sampath, S. & Feng, J., Oct 2024. 11 p.
Research output: Contribution to conference › Proceeding

Open Access
File
44 Downloads (Pure)
Neural network-based synchronisation of free-floating space manipulator's joint motion and mother spacecraft's attitude for active debris removal
Sampath, S. & Feng, J., 8 Aug 2024, 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings. Piscataway, NJ: IEEE, 10 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
23 Downloads (Pure)

Data for: “Intelligent and robust control of space manipulator for sustainable removal of space debris” and “Intelligent and robust control of space manipulator for active removal of space debris”
Sampath, S. (Creator) & Feng, J. (Supervisor), University of Strathclyde, 11 Aug 2025
DOI: 10.15129/d1bc7542-3a8d-44e7-a690-5a450d20881a
Dataset

Robust & intelligent GNC techniques for autonomous free-flying space manipulators operations

Project Details

Description

Keywords

Access Project

Fingerprint

Hybrid control of space manipulators for active debris removal: A comprehensive review

Deep Neural Network-based Robust Collision Avoidance Control of Space Manipulator for Active Debris Removal

Neural network-based synchronisation of free-floating space manipulator's joint motion and mother spacecraft's attitude for active debris removal

Data for: “Intelligent and robust control of space manipulator for sustainable removal of space debris” and “Intelligent and robust control of space manipulator for active removal of space debris”

Robust & intelligent GNC techniques for autonomous free-flying space manipulators operations

Project Details

Description

Keywords

Access Project

Fingerprint

Research output

Hybrid control of space manipulators for active debris removal: A comprehensive review

Deep Neural Network-based Robust Collision Avoidance Control of Space Manipulator for Active Debris Removal

Neural network-based synchronisation of free-floating space manipulator's joint motion and mother spacecraft's attitude for active debris removal

Datasets

Data for: “Intelligent and robust control of space manipulator for sustainable removal of space debris” and “Intelligent and robust control of space manipulator for active removal of space debris”