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An End-To-End System for Accomplishing Tasks with Modular Robots

Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress‐Gazit

Year
2016
Citations
46
Access
Open access

Abstract

The advantage of modular robot systems lies in their flexibility, but this advantage can only be realized if there exists some reliable, effective way of generating configurations (shapes) and behaviors (controlling programs) appropriate for a given task. In this paper, we present an end-to-end system for addressing tasks with modular robots, and demonstrate that it is capable of accomplishing challenging multi-part tasks in hardware experiments. The system consists of four tightly integrated components: (1) A high-level mission planner, (2) A large design library spanning a wide set of functionality, (3) A design and simulation tool for populating the library with new configurations and behaviors, and (4) modular robot hardware.

Keywords

End-to-end principleModular designComputer scienceRobotSelf-reconfiguring modular robotArtificial intelligenceRobot controlMobile robotOperating system

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