robotics for ants

Can we improve complex systems research with rapidly prototyped robotics?

Year
2017
Solo Project
Skills
behavioral science reactive co-design with stakeholders, rapid manufacturing, code/electronics, novel sensing development
Lab
Bristol Ant Lab @ University of Bristol
Awards
BAE Systems prize for best computer science project 2017
tags
complex systems, robotics, rapid prototyping

The Ant Lab at the University of Bristol had been carrying out leading research into the behavior of ant colonies during migration[1], but their experimental methods had been limited to the use of very basic artificial nests made from paper and glass. At the time I had the chance to work with Nigel Franks and Ana Sendova-Franks, along with Dr Oliver Ray, on the project.

This equipment made experiments slow, difficult, and imprecise; three things that can usually be helped with robotics.

So I tried to solve all their issues in one modular framework, and investigate the viability of rapidly prototyped lab equipment on the way.

The initial brief was to investigate robotic solutions to enable height and entrance width dimensions of an artificial ant nest to be changed on the fly[2]. This would help with complex systems research done within the Ant Lab on colony behavior. However, I quickly expanded this project into a full modular framework of robotic systems that could be rapidly manufactured and assembled with tools available to the lab.

The final framework was a fully wireless device with two novel methods for detecting entrance and exit of small ants, involving capacitive sensing and IR(infrared) technology, as well as robotic control of internal nest dimensions[3] and light intensity within the nest cavity[2].

The framework could be used to study the effect that changing the physical features of an ant's nest has on the behavior of ants on an individual and colony level, and how nest selection can be artificially influenced by humans[4][5].

robotics for ants
fig. a
Academic poster presented on 10/09/17, shortly before development had reached completion.
references
  1. [1] Pratt, S. C., Mallon, E. B., Sumpter, D. J. T. & Franks, N. R. (2002). Quorum sensing, recruitment, and collective decision-making during colony emigration by the ant Leptothorax albipennis. Behavioral Ecology and Sociobiology. link.springer.com/article/10.1007/s00265-002-0487-x
  2. [2] Franks, N. R., Mallon, E. B., Bray, H. E., Hamilton, M. J. & Mischler, T. C. (2003). Strategies for choosing between alternatives with different attributes: exemplified by house-hunting ants. Animal Behaviour. semanticscholar.org/paper/61a19af1463753e90d18bc6c90a8d7319b
  3. [3] Mallon, E. B. & Franks, N. R. (2000). Ants estimate area using Buffon's needle. Proceedings of the Royal Society B. pmc.ncbi.nlm.nih.gov/articles/PMC1690598/
  4. [4] Franks, N. R., Dornhaus, A., Fitzsimmons, J. P. & Stevens, M. (2003). Speed versus accuracy in collective decision making. Proceedings of the Royal Society B. pmc.ncbi.nlm.nih.gov/articles/PMC1691524/
  5. [5] Franks, N. R., Podesta, J. A., Jarvis, E. C., Worley, A. & Sendova-Franks, A. B. (2022). Robotic communication with ants. Journal of Experimental Biology. pmc.ncbi.nlm.nih.gov/articles/PMC9440752/