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arXiv · 1712.02299

Accomplishing High-Level Tasks with Modular Robots

Gangyuan Jing·Tarik Tosun·Mark Yim·Hadas Kress-Gazit
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Abstract

The advantage of modular self-reconfigurable robot systems is their flexibility, but this advantage can only be realized if appropriate configurations (shapes) and behaviors (controlling programs) can be selected for a given task. In this paper, we present an integrated system for addressing high-level 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. This paper builds on earlier work by the authors, extending the original system to include environmentally adaptive parametric behaviors, which integrate motion planners and feedback controllers with the system.

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Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit. 2017-12-06. Accomplishing High-Level Tasks with Modular Robots. https://doi.org/10.1007/s10514-018-9738-1

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