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

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

AI100 report released: embodied AI highlighted as grand challenge

  11 Nov 2026
Embodied AI is listed as one of the most inspiring open grand challenges.

AIhub coffee corner: Are humanoids the future of embodied AI?

  09 Nov 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Robot Talk Episode 169 – Robot sensing inspired by nature, with Dexter Shepherd

  06 Nov 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Dexter Shepherd from the University of Sussex about using artificial intelligence to help robots understand and adapt to their environment.

Robots in society, business and culture: October 2026

We showcase a selection of robotics stories from society, business, research and culture.

Muscle coordination can be mimicked by electric motors – it could lead to improved robots

  02 Nov 2026
Researchers built a physical model using ordinary electric motors to try and simulate how muscles may perform tasks.

Robot Talk Episode 168 – Advancing robotics with novel electronics, with Zlatka Stoeva

  30 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

and   28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

Robots in society, business and culture: September 2026

We showcase a selection of robotics stories from society, business, research and culture.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence