Ultra Wideband Assisted Localization of Semi-Autonomous Floor Scrubber

The paper describes the design and features of the novel semi-autonomous floor scrubber add-on module, used for cleaning large indoor spaces. Module is designed in such a manner that it can be easily attached and detached from scrubber machine and that additional sensors can be introduced if needed. The paper focuses on the localization capabilities of the machine in several sensor setups with emphasis on the use of ultra wideband (UWB) real-time localization system (RTLS). It also proposes fusion of sensor data from several sources including novel use of wheel encoder’s data in UWB setup. Analysis is performed in terms of localization accuracy and reliability as well as associated advantages and disadvantages. Obtained results demonstrated that inclusion of UWB subsystem, despite its price and accuracy (20 cm in ideal, line of sight, conditions), based on behavior switching yields more reliable and accurate results in open spaces (up to 25 times in position and 2 times in orientation) and that its accuracy can be further improved with inclusion of wheel encoder data.

[1]  Sinan Gezici,et al.  Ultra-wideband Positioning Systems: Theoretical Limits, Ranging Algorithms, and Protocols , 2008 .

[2]  Zachary Dodds,et al.  Evaluating the Roomba: A low-cost, ubiquitous platform for robotics research and education , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[3]  D. Simon Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches , 2006 .

[4]  Thomas B. Schön,et al.  Indoor Positioning Using Ultrawideband and Inertial Measurements , 2015, IEEE Transactions on Vehicular Technology.

[5]  A. Linz,et al.  - 1-AUTONOMOUS SERVICE ROBOTS FOR ORCHARDS AND VINEYARDS : 3 D SIMULATION ENVIRONMENT OF MULTI SENSOR-BASED NAVIGATION AND APPLICATIONS , 2014 .

[6]  Ali Gürcan Özkil Service Robots for Hospitals: Key Technical issues , 2011 .

[7]  Evangelos Papadopoulos,et al.  On differential drive robot odometry with application to path planning , 2007, 2007 European Control Conference (ECC).

[8]  Marc Engels,et al.  Accuracy Improving Algorithm for Wireless 3D Locating Systems , 2011, PECCS.

[9]  Brian Yamauchi,et al.  Fusing ultra-wideband radar and lidar for small UGV navigation in all-weather conditions , 2010, Defense + Commercial Sensing.

[10]  Martin Hagele Robots Conquer the World [Turning Point] , 2016, IEEE Robotics & Automation Magazine.

[11]  Josip Music,et al.  Cleaning up smart cities — Localization of semi-autonomous floor scrubber , 2016, 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

[12]  Salil Banerjee,et al.  Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation , 2012 .

[13]  Jian Wang,et al.  A Tightly-Coupled GPS/INS/UWB Cooperative Positioning Sensors System Supported by V2I Communication , 2016, Sensors.

[14]  Fernando Torres Medina,et al.  Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[15]  Willy Barnett,et al.  Consumer perceptions of Interactive Service Robots: A Value-Dominant Logic perspective , 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

[16]  D. Fox,et al.  Towards Personal Service Robots for the Elderly , 1999 .

[17]  Chong-Won Lee,et al.  Integrated navigation system for indoor service robots in large-scale environments , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[18]  Alessandro Saffiotti,et al.  Stigmergy at work: Planning and navigation for a service robot on an RFID floor , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[19]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.