Exploring Centralization in Collective Robotic Construction

May 21, 2024 /

ROB|ARCH 2024 - Toronto, Canada

From May 21-23rd, ICD Research Associates Samuel Leder and Lior Skoury will offer a workshop on “Exploring Centralization in Collective Robotic Construction” as a part of ROB|ARCH 2024 conference in Toronto, Canada. 

A brief description of the workshop is as follows:

Collective robotic construction (CRC) is an emerging field of research that investigates how relatively small, mobile robots can collaborate in order to aid in construction processes. One major question in the development of CRC systems is their level of decentralization considering the large amount of machines that work together. This includes questions of:

  • Whether the robots know about and can communicate with each other?
  • Is the structure being assembled or worked on known by the robots?
  • How much information do the robots have on their general construction environment?

This workshop will tackle questions of decentralization in CRC through the investigation of two approaches for their modelling and control: agent-based modelling and simulation (ABMS) and digital threads. Participants will delve into theoretical concepts of CRC, explore a software framework for experimenting with CRC in which mobile robots are modelled as agents with custom behaviours and be introduced to a framework for design-to-fabrication processes based on digital threads. The participants will work digitally evolving existing algorithms for CRC, learn how to program and control wheeled mobile robots using the ABxM framework and advanced communication methods and have hands-on experience with local and global sensing techniques for mobile robots.

These tools and concepts will be utilized in the active implementation of a wheeled robot CRC system during the course of the workshop. By the end, participants will be equipped with the knowledge to envision and implement the transformative potential of CRC.

To register, please visit the ROB|ARCH 2024 website.

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