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abstract

VOCOWA - VOice COntrolled Wheelchair Autonomous

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Published:01 March 2018Publication History

ABSTRACT

Project VOCOWA aims to deliver an automated solution for assistive technologies/ advanced smart assistance which will enable elderly and disabled people to live an independent and dignified life. VOCOWA can be implemented using three major technologies i.e., Simultaneous Localization And Mapping (SLAM), Deep Learning and Natural Language Processing to achieve its objectives. As of now the SLAM technology has been implemented successfully.

References

  1. Sara Keen, Lavi Zamstein, Wenxing Ye, Blake Sutton Gene Shokes, Gorang Gandhi, Eric M. Schwartz, A. Antonio Arroyo. Koolio: An Autonomous Refrigerator Robot. Proceedings of the 2006 Florida Conference on Recent Advances in Robotics, May 25--26, 2006, FIU, Miami, Florida.Google ScholarGoogle Scholar
  2. {2}A. Diosi and L. Kleeman. Advanced sonar and laser range finder fusion for simultaneous localization and mapping. In Proc. IROS, 2004Google ScholarGoogle ScholarCross RefCross Ref
  3. {3}K.-H. Kim and H. S. Cho. Range and contour fused environment reckognition for mobile robot. In Proceedings on International Conference on Multisensor Fusion and Integration for Intelligent Systems, pages 183--188, Dusseldorf, Germany, Aug. 2001. IEEE.type="Other"Google ScholarGoogle Scholar

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  1. VOCOWA - VOice COntrolled Wheelchair Autonomous

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                      • Published in

                        cover image ACM Conferences
                        HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
                        March 2018
                        431 pages
                        ISBN:9781450356152
                        DOI:10.1145/3173386

                        Copyright © 2018 Owner/Author

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                        Association for Computing Machinery

                        New York, NY, United States

                        Publication History

                        • Published: 1 March 2018

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                        Acceptance Rates

                        HRI '18 Paper Acceptance Rate49of206submissions,24%Overall Acceptance Rate192of519submissions,37%

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