Robohub.org
 

Cooperative payload transport with quadrotors


by
18 November 2010



share this:

Just the other day, a noisy helicopter was flying above campus, carrying large batches of solar panels to hard to reach rooftops. You might have also seen people dangling from helicopters in rescue missions or the transportation of materials in military, industrial and construction applications. Pushing the limits of aerial payload transportation this spring, the Alinghi catamaran was “shipped” to sea using a Mil Mi-26 helicopter, the biggest and most powerful in the world (see picture below).

AP Photo/Keystone/Jean-Christophe Bott

Rather than going for large helicopters with experienced pilots, Michael et al. explore the possibility of using multiple autonomous quadrotors. By working together, the robots can potentially lift heavy objects and can position themselves in such a way that the pose of the object can be controlled. Simply put, in the image above, there is no way to tilt the catamaran sideways by 45 degrees whereas a system with multiple robots could do the trick.

More specifically, the researchers consider the problem of controlling multiple robots manipulating and transporting a payload in three dimensions via cables. To do so they derive a mathematical model that ensures static equilibrium of the payload at a desired pose while respecting constraints on cable tensions.

Experiments shown in the video below were conducted with three AscTec Humming-bird quadrotors from Ascending Technologies GmbH. Localization information was provided by a Vicon motion capture system that consists in a set of cameras in the room that monitor the robots at high speed. The robots are able to lift a triangular payload, change its pose and transport it while avoiding inter-robot collisions.

In the future, Michael et al. hope to find a way to make the robots damp out oscillations that occur when the payload moves.




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 :



Teaching robots to map large environments

  05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.

Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.



 

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