Robohub.org
 

Cooperative modular satellites


by
02 January 2012



share this:

In Modular Space Robotics, modules self-assemble while in orbit to create larger satellites for specific missions. Modular satellites have the potential to reduce mission costs (small satellites are cheaper to launch), increase reliability, and enable on-orbit repair and refueling. Each of the modules has its load of sensors, fuel and attitude control actuators (thrusters). Assembled modules therefore have redundant sensor and actuation capabilities. By fusing sensor data, the modular satellites can follow its trajectory more precisely and smart thruster activation can help save fuel.

The challenge is to figure out how to control such a self-assembled robot to minimize fuel consumption while balancing fuel distribution and improve trajectory following. To this end, Toglia et al. propose a cooperative controller where one of the modules, with information about the configuration of all other modules, is responsible for computing an optimal control schema. An extended Kalman-Bucy Filter is used to implement sensor fusion.

The cooperative controller was compared to an independent controller where each module attempts to follow its own trajectory while minimizing its own fuel usage and trajectory errors. Results from simulation and reality show that the cooperative controller can save significant amounts of fuel, up to 43% in one experiment, while making the trajectories more precise.

Experiments in reality were performed with two satellites using the MIT Field and Space Robotics Laboratory Free-Flying Space Robot Test Bed shown below.




Sabine Hauert is President of Robohub and Associate Professor at the Bristol Robotics Laboratory
Sabine Hauert is President of Robohub and Associate Professor at the Bristol Robotics Laboratory





Related posts :



AI-powered robots help tackle Europe’s growing e-waste problem

  12 May 2025
EU-funded researchers have developed adaptable robots that could transform the way we recycle electronic waste, benefiting both the environment and the economy.

Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence