RONIJan 27, 2016

Gondola: a Parametric Robot Infrastructure for Repeatable Mobile Experiments

arXiv:1601.07457v14 citations
Originality Incremental advance
AI Analysis

This addresses the problem of expensive customization for mobility in diverse WSN environments, offering a more adaptable solution for researchers and practitioners in sensor networks.

The paper tackles the challenge of providing repeatable mobility for wireless sensor network testbeds by designing Gondola, a parametric robot infrastructure based on pulling wires instead of wheels, which achieves 3D movement with accuracy comparable to wheeled robots without complex localization systems.

When deploying a testbed infrastructure for Wireless Sensor Networks (WSNs), one of the most challenging feature is to provide repeatable mobility. Wheeled robots, usually employed for such tasks, strive to adapt to the wide range of environments where WSNs are deployed, from chaotic office spaces to potato fields in the farmland. For this reson, these robot systems often require expensive customization steps that, for example, adapt their localization and navigation system. To avoid these issues, in this paper we present the design of Gondola, a parametric robot infrastructure based on pulling wires, rather than wheels, that avoids the most common problems of wheeled robot and easily adapts to many WSN's scenarios. Different from wheeled robots, wich movements are constrained on a 2-dimensional plane, Gondola can easily move in 3-dimensional spaces with no need of a complex localization system and an accuracy that is comparable with off-the-shelf wheeled robots.

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