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A low-cost prototyping framework for human-robot desk interaction

Published: 12 September 2020 Publication History

Abstract

Many current human-robot interactive systems tend to use accurate and fast - but also costly - actuators and tracking systems to establish working prototypes that are safe to use and deploy for user studies. This paper presents an embedded framework to build a desktop space for human-robot interaction, using an open-source robot arm, as well as two RGB cameras connected to a Raspberry Pi-based controller that allow a fast yet low-cost object tracking and manipulation in 3D. We show in our evaluations that this facilitates prototyping a number of systems in which user and robot arm can commonly interact with physical objects.

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References

[1]
G. Grunwald, G. Schreiber, A. Albu-Schaffer, and G. Hirzinger. 2003. Programming by touch: the different way of human-robot interaction. IEEE Transactions on Industrial Electronics 50, 4 (2003), 659--666.
[2]
Adrian Kaehler and Gary Bradski. 2016. Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library (1st ed.). O'Reilly Media, Inc.
[3]
David Porfirio, Evan Fisher, Allison Sauppé, Aws Albarghouthi, and Bilge Mutlu. 2019. Bodystorming Human-Robot Interactions. In Proceedings of ACM UIST'19 (New Orleans, LA, USA). 479--491.
[4]
Philipp M. Scholl, Brahim El Majoub, Silvia Santini, and Kristof Van Laerhoven. 2013. Connecting Wireless Sensor Networks to the Robot Operating System. Procedia Computer Science 19 (2013), 1121--1128.
[5]
M. Terashima and S. Sakane. 1999. A human-robot interface using an extended digital desk. In Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), Vol. 4. 2874--2880 vol. 4.
[6]
A. Vick, D. Surdilovic, and J. Krüger. 2013. Safe physical human-robot interaction with industrial dual-arm robots. In Robot Motion and Control. 264--269.

Cited By

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  • (2022)Tesla-Rapture: A Lightweight Gesture Recognition System From mmWave Radar Sparse Point CloudsIEEE Transactions on Mobile Computing10.1109/TMC.2022.315371722:8(4946-4960)Online publication date: 23-Feb-2022

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      cover image ACM Conferences
      UbiComp/ISWC '20 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
      September 2020
      732 pages
      ISBN:9781450380768
      DOI:10.1145/3410530
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 12 September 2020

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      Author Tags

      1. human-robot interaction
      2. object tracking
      3. tangible computing

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      Overall Acceptance Rate 764 of 2,912 submissions, 26%

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      • (2022)Tesla-Rapture: A Lightweight Gesture Recognition System From mmWave Radar Sparse Point CloudsIEEE Transactions on Mobile Computing10.1109/TMC.2022.315371722:8(4946-4960)Online publication date: 23-Feb-2022

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