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A projection-based making-human-feel-safe system for human-robot cooperation

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

When a person is working on a human robot cooperation system, he/she tends to worry about possible collisions with the robot, because of a lack of internal information about the robot. This internal information is, for example, an awareness of a worker's presence or future robot motion. Therefore, this paper proposes a projection-based making-human-feel-safe system that not only ensures the safety of a human worker but also ensures that the worker feels safe when working with a robot by displaying the internal information of the robot using projection technology. To develop this system, we utilized a Kalman filter for predicting a worker's hand position and compensating the delay in the projection. An elastic band framework was implemented to plan a safe path considering the position of the worker. Finally, an evaluation experiment was conducted to prove the effectiveness of the system. © 2016 IEEE.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PublisherIEEE
Pages1101-1106
ISBN (Print)9781509023943
DOIs
Publication statusPublished - 1 Sept 2016
Externally publishedYes
Event13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 - Harbin, Heilongjiang, China
Duration: 7 Aug 2016 → 10 Aug 2016

Publication series

Name2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016

Conference

Conference13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PlaceChina
CityHarbin, Heilongjiang
Period7/08/16 → 10/08/16

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Human-Robot Cooperation
  • Make-human-feel-safe
  • Manipulator

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