In today’s episode we focus on modular robotics, or robots assembled out of many smaller modules. Whether all the modules are the same (‘homogeneous’) or of different types (‘heterogeneous’), modular robots can accomplish many different tasks simply by adjusting their configuration. We speak with two experts in the field, Kasper Støy from Denmark and Robert Fitch from Australia.
Kasper Støy is an associate professor at the University of Southern Denmark, famous for his pioneering work with self-reconfiguring modular robots such as the CONRO. Much of Kasper’s work involves the design of algorithms to control the locomotion or self-reconfiguration of modular robots into useful shapes, such as the simulated 747 seen below.
Støy shares his recent experience at the ICRA Contingency Challenge, a competition in which teams have only a few hours to solve an unexpected problem in a planetary environment using only the material they have at hand. To achieve this goal Støy’s team integrated several different types of modular robots, including the ATRON (seen below) homogeneous robot and his latest creation, the Odin heterogeneous robot. Along with some LEGO and a bit of duct tape, Støy’s team managed to put together a system that could potentially be used to complete tasks on Mars. Check out all their videos on the team’s YouTube channel.
Our second interview is with Robert Fitch who is a research fellow with the Australian Centre for Field Robotics in Sydney, Australia. Fitch received his PhD in computer science with Daniela Rus from Dartmouth College in 2004 and then held a research position at the National ICT Australia in Sydney. He presents his latest self-reconfiguring robot whose millions of simulated modules can make a large cube robot locomote in any type of environment. By changing its shape on the go, the large cube can ooze around and over obstacles without splitting. To render a system which is scalable in the number of modules, he has been looking at how to control the reconfiguration of his robots in a decentralized manner, possibly using learning techniques to automatically determine the interesting moves to make. Finally Fitch presents the envisioned applications and hardware implementations for his self-reconfigurable modular robots.
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