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Modular robot connector area of acceptance from configuration space obstacles

Nick Eckenstein, Mark Yim

Year
2017
Citations
9

Abstract

Physical connectors which have geometry to passively guide mating increases robustness in attachments. This is a key design area for self-reconfigurable modular robots, which frequently make and break connections. By repurposing the interpretation of a well-known motion planning tool in configuration space obstacles for its encoding of contact geometry, we present a method for determining a metric of error tolerance (area of acceptance) in multiple dimensions by construction. Watershed analysis is run on this configuration-space model to determine the full shape and area of the capture region for the connector pair. We show the results of this process for several connector types.

Keywords

Cable glandModular designRobotComputer scienceSpace (punctuation)EngineeringArtificial intelligenceTelecommunicationsOperating system

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