Robohub.org
ep.

059

podcast
 

Programmable matter with Michael Tolley and Jonas Neubert


by
27 August 2010



share this:

In this episode we dive into the world of programmable matter with Michael Tolley and Jonas Neubert from the Computational Synthesis Laboratory run by Hod Lipson at Cornell University, NY. They present their amazing hardware and control to stochastically assemble matter in fluid.

Michael Tolley

Michael Tolley is finishing his PhD under the supervision of Hod Lipson at Cornell University.

Imagine being able to throw a hand-full of smart matter in a tank full of liquid and then pulling out a ready-to-use wrench once the matter has assembled. As a first step in this direction, Tolley has been looking at how smart cubes can assemble into physical objects in fluids. The interest in using fluid stems from the fact that modules, transported by the flows in their environment, do not need any power or motors. The shapes and latching mechanisms on his cubes, whether on the micro– or centimeter– scale, were smartly designed to enable autonomous alignment and connection. In the end, his approach at building smart matter follows the idea of embodied AI where the intelligence of the robot is embedded in its physical body and its interactions with the environment.

Beyond hardware, Tolley has been looking at controlling such stochastic systems by changing the flows in the tanks to assemble 2D and 3D structures and even repair objects when a part has been broken off. For this purpose, he’s been working on a Programmable Matter Simulator to investigate the possibilities to harness random motion.

Jonas Neubert

Jonas Neubert is also doing his PhD at Hod Lipson’s lab.

As opposed to Tolley, he is looking at making active modules that can compute, connect to neighbors, communicate and open and close valves to direct liquid flows. His setup, presented at ICRA this year is very far from the classical screws and blots used in robotics. Indeed, connections are made by autonomously soldering and desoldering blocks… in liquid. In another original development, valving is done by heating the surrounding fluid which then reacts by becoming a gel and blocking the flow.

Neubert covers all the neat technical developments in his system and the challenges in making electronics that operate in liquid.

Links:


Latest News:
For videos of this week’s Robots news, including the Surena 2 humanoid robot and the prosthetic arm controlled by thought, have a look at the Robots 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.





Related posts :



Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.

Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules

  07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.

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.



 

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