Robohub.org
ep.

046

podcast
 

Swarming satellites with Alvar Saenz-Otero

SPHERES         

by
26 February 2010



share this:

In today’s episode we speak with the lead scientist of the SPHERES project, Dr. Alvar Saenz-Otero from MIT, which aims at developing autonomous formation flight and docking control algorithms for nano-satellites. We then dissect a well known definition of a robot dating back to 1979.

Alvar Saenz-Otero

Alvar Saenz-Otero is lead scientist of the SPHERES project at the MIT Space Systems Laboratory in the US. SPHERES (Synchronized Position Hold Engage and Reorient Experimental Satellites) fulfill all the normal requirements of satellites in a small basketball-sized shape. This small size is what has allowed these robots to be tested in the lab, during parabolic flights and even on board the International Space Station (ISS).

The research question is how to make these satellites work together by flying in formations and physically connecting, or docking. Such swarms of satellites could be used to create giant telescope mirrors in space with nano-meter precision and assemble future space stations without the need for human spacewalks.

Saenz-Otero also describes more generally how you get your robot into the ISS and his plans to motivate students about science or pursue his dream of large swarms in space.

What is a Robot?

This week we look at a traditional definition of a robot, coming straight from the Robot Institute of America.  According to their 1979 definition, a robot is:

“A reprogrammable, multifunctional manipulator designed to move material, parts, tools, or specialized devices through various programmed motions for the performance of a variety of tasks”

What’s interesting about this definition is how far we’ve come in the last 30 years in the development of robotics. In 1979 a robot was simply a manipulator used to move parts in pre-programmed motions, which brings to mind industrial robots used in factories. 30 years later robots are no longer simply manipulators, but can propel themselves in their environment, understand their surroundings and act accord to their particular situation and analysis of surroundings instead of simply enacting pre-programmed motions. This 30-year-old official definition no longer applies, so let’s try to figure out what robots mean to us today! Keep sending us your answers by email at info@robotspodcast.com and let’s get closer to an all-encompassing definition of a robot for the 21st century.

Links:


Latest News:

As always, more information on this episode’s news including the Flyfire project, the artificial foot and Korea’s plans for R-learning can be found on the Robots Forum.

View and post comments on this episode in the forum



tags: ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence