FORROST

Innovative Technologies for On-Orbit Satellite Servicing


Project Description

Forschungsverbund Robotische On-Orbit Servicing Technologien (FORROST), is a research network with industrial and academic partners led by the DLR (Deutsches Zentrum für Luft- und Raumfahrt) to develop technologies to perform autonomous Rendezvous and Docking (RVD) maneuvers with cooperative and non-cooperative satellites for on-orbit servicing.
Within the scope of this project, the department of Robotics and Telematics, Informatics chair 7, at the University of Würzburg is actively working to develop innovative technological solutions to achieve high degree of autonomy in RVD operations. Specifically, efforts are focused on

  • Spacecraft motion estimation using Photonic Mixer Device (PMD) sensor based 3D camera
  • Robotic arm path planning and its trajectory optimization to grasp another spacecraft during RVD
  • Autonomous collision detection and avoidance

Satellite Pose and Motion Estimation


PMD cameras are state-of-the-art 3D imaging sensors capable of providing not only intensity images of the observed scene but also depth to the corresponding points along with the information about quality of observation. They are based on the Time-of-Flight (TOF) principle. By actively illuminating the scene and analyzing the phase difference between the reflected and reference signals using autocorrelation technique the depth information is inferred. The images from the 3D camera are then analyzed to estimate and predict the pose and motion of an object, specifically that of a spacecraft. The ongoing research activities include image processing, object recognition, motion analysis and data fusion among others.

PMD[Vision] CamCube 2.0
Edge detection for motion estimation

Robotic Arm Motion Planning and Trajectory Optimization


For rendezvous with non-cooperative spacecrafts, the target satellite may or may not have a valid docking port and the satellite is not operational and out of control. In those conditions, a robotic arm mounted on the service satellite would be used to grasp the target satellite. With this aim, an optimal trajectory for the deployment of arm has to be calculated, which minimizes energy constraints while taking care of the inertial forces involved. While DLR works in generating possible trajectories using direct optimizations methods, the University of Würzburg would be contributing to with the investigation and evaluation of optimization criteria using indirect methods.

Service satellite in close approach prior to grasping maneuvers (Picture courtesy: DLR. Reference: DEOS Project)

Collision Detection and Avoidance


A critical aspect in RVD maneuvers is when both satellites get to very short distances from one another. The final approach to docking or grasping must be executed with extreme care in order to avoid collisions. The University of Würzburg is also actively working on early detection of possible collision situations as well as measures to avoid it. For this, transfer of knowledge gained in similar applications with terrestrial mobile robots is being considered.

Close approach and grasping of client satellite (Picture courtesy: DLR. Reference: DEOS Project)

Project Partners


Deutsches Zentrum für Luft- und Raumfahrt
Julius Maximilians Universität Würzburg
LS für Informatik VII
 
Hochschule Hof
Technische Universität München
LS für Raumfahrttechnik
Universität Erlangen-Nürnberg
LZS
Kayser-Threde GmbH
SpaceTech GmbH
Zentrum für Telematik e.V.

Sponsor


The FORROST research activities held at University of Würzburg are funded by Bayerische Forschungsstiftung (BFS), the Bavarian Research Foundation.

Joining the Team


Opportunities for students to take part in FORROST activities are wide open. Students are invited to explore possibilities for thesis work in the field of image processing, 3D computer vision, PMD camera calibration, Spacecraft orbital dynamics, trajectory planning and optimization of robotic arm among others.

Contacts


For detailed information about the FORROST project and opportunities to work for the project, interested people are requested to approach the team members:

Prof. Dr. Klaus Schilling
Head of the project
schi@informatik.uni-wuerzburg.de
+49-931-31-86647

Research Assistants

Msc. Karthik Ravandoor
Project manager
ravandoor@informatik.uni-wuerzburg.de
Msc. Leonardo Regoli
regoli@informatik.uni-wuerzburg.de
Msc. Julian Scharnagl
scharnagl@informatik.uni-wuerzburg.de