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A Novel Method for 3D Absolute Localization and Orientation of a Stair Cleaning Robot Using Staircase Geometry and Onboard Sensors

Ilyas Muhammad, Vinu Sivanantham, Manojkumar Devarassu, Balakrishnan Ramalingam, Mohan Rajesh Elara

Year
2018
Citations
4
Access
Open access

Abstract

The sTetro is a stair cleaning robot which can climb the staircase with its shapeshifting capabilities. As this robot is intended to traverse multi-floor environment autonomously, hence its localization/positioning information is an essential component of the overall system. Usually, the indoor mobile robots rely on some external system for localization information, e.g., WiFi, UWB, vision, RFID signals, or indoor Global Positioning System (GPS). This requires the installation of additional hardware and/or modification of the working environment for precise positioning information of the mobile platform. As the dimensions of the staircase are known a priori, this knowledge can be used to localize the sTetro robot on the stairs. In this article, the geometry of the staircase has been exploited to localize the robot in 3D space with measurements from the onboard time-of-flight (ToF) range sensors only. The heading angle of the robot is also estimated with two ToF sensors installed in front of the sTetro robot. Results achieved by conducting experiments on real robot prove the efficacy of the proposed approach.

Keywords

RobotHeading (navigation)Computer visionMobile robotOrientation (vector space)Artificial intelligenceTraverseComputer scienceClimbGlobal Positioning System

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