Robohub.org
podcast
 

Construction with Amorphous Materials with Nils Napp

Wyss Institute         

by
06 September 2013



share this:

In this episode, Sabine Hauert interviews Nils Napp from the Self-organizing Systems Research Group at the Wyss Institute at Harvard University.

Napp tells us about his project to create robots that can reliably build structures in uncertain, unstructured terrain. Like termites that can build complex structures using shapeless materials like mud, his robots build structures out of foam, toothpicks or bags of sand. As a first example, he’s been working on ramp building in chaotic environments remnant of disaster scenarios. Focus is given to designing algorithms that allow the robot to build up the ramp using only local information and without any preplanning. These features allow his algorithms to be scaled to multiple robots, thereby speeding up the process. Finally, Napp tells us about the challenges he faces when working with such materials, the steps needed to bring these robots out of the lab and tradeoffs with classical construction techniques. He also introduces us to his latest work in synthetic biology.

And here’s an example of another SSR robot using amorphous material by Christian Ahler.

Nils Napp
Nils Napp is a postdoctoral fellow at Radhika Nagpal’s Self-organizing Systems Research Group at the Wyss Institute for Biologically Inspired Engineering at Harvard University. Before coming to Harvard, Nils Napp received his Master and PhD in Electrical Engineering from the University of Washington where he worked at the Klavins lab on Robotic Chemistry and Programmable Parts.

His main research focus is on control strategies for groups of robots and other distributed systems. Ultimately, he hopes to make self-organized systems that like biological systems are able to reliably work in random, unstructured, and fluctuating environments.

Links:



tags: , , ,


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


Subscribe to Robohub newsletter on substack



Related posts :

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.

A multi-armed robot for assisting with agricultural tasks

  18 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence