Difference between revisions of "Experiments Source Code"

Latest revision as of 22:47, 26 March 2022

We plan to provide the source code of all experiments and plugins for ARK (Augmented Reality for Kilobots). Each plugin is composed of the code for the BCS (Base Control Station) and the code for the Kilobot control software.

In the paper of ARK (IEEE Robotics and Automation Letters), we show three demos: automatic ID assignment, automatic positioning, and foraging.

ARK code for Kilobot's house-keeping routines

• ID assignment functionality is already included in the ARK main BCS software (available at https://github.com/DiODeProject/KilobotArena)
  • the Kilobot control software for ID assignment is: AssignIDsBinary.c
  • the Kilobot control software for ID assignment (working both for numbers in base 2 and base 3, communicated respectively with 2 or 3 colours): AssignIDsBase2and3.c
  • video tutorial: https://youtu.be/nc_DHUcX6Rg

• Kilobots automatic calibration functionality is already included in the ARK main BCS software (available at https://github.com/DiODeProject/KilobotArena)
  • the Kilobot control software for Kilobots automatic calibration is ARKalib.c
  • video tutorial: https://youtu.be/fenkr9Dov0s

• Automatic positioning code
  • BCS code: DirectNavigation.zip
  • Kilobot control software code: DirectNavigation.c

• ARK experiment code to store the image frames and use them for offline tests
  • BCS code: RecordARKframes.zip

Source code of ARK-based experiments

• Foraging demo (used in Reina et al. RA-L 2017)
  • BCS code: ForagingDemoC.zip
  • Kilobot control software code: DemoC_kilobot.c

• Virtual-pheromone collective foraging experiment
  • The code of the paper A. Font Llenas, M.S. Talamali, X. Xu, J.A.R. Marshall, and A. Reina. used in Quality-sensitive foraging by a robot swarm through virtual pheromone trails. In Proceedings of 11th International Conference on Swarm Intelligence (ANTS 2018), LNCS 11172. Springer 2018
  • source code available here: https://github.com/DiODeProject/PheromoneKilobot
  • videos: http://diode.group.shef.ac.uk/FontLlenas2018.html

• Virtual-pheromone collective foraging experiment (extended and improved)
  • The code of the paper M.S. Talamali, T. Bose, M. Haire, X. Xu, J.A.R. Marshall, A. Reina. Sophisticated Collective Foraging with Minimalist Agents: A Swarm Robotics Test. Swarm Intelligence 14(1):25-56, 2020.
  • source code available here: https://github.com/DiODeProject/PheromoneKilobotSwarmIntell
  • videos: https://www.youtube.com/playlist?list=PLCGKY9OHLZwMaGeB6cxVfxmHwhBFqKF7a

• Collective decision making (best-of-n)
  • The code of the paper M.S. Talamali, A. Saha, J.A.R. Marshall, A. Reina. When less is more: Robot swarms adapt better to changes with constrained communication. Science Robotics 6(56): eabf1416, 2021
  • source code available here: https://github.com/DiODeProject/AdaptationStudy
  • videos: https://bcove.video/3zwyQpA