Situated Tangible Robot Programming
This paper introduces situated tangible robot programming, whereby a robot is programmed by placing specially designed tangible "blocks" in its workspace. These blocks are used for annotating objects, locations, or regions, and specifying actions and their ordering. The robot compiles a pr...
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| Veröffentlicht in: | 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI S. 473 - 482 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY, USA
ACM
06.03.2017
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| Schriftenreihe: | ACM Conferences |
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| ISBN: | 9781450343367, 1450343368 |
| ISSN: | 2167-2148 |
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| Abstract | This paper introduces situated tangible robot programming, whereby a robot is programmed by placing specially designed tangible "blocks" in its workspace. These blocks are used for annotating objects, locations, or regions, and specifying actions and their ordering. The robot compiles a program by detecting blocks and objects in its workspace and grouping them into instructions by solving constraints. We present a proof-of-concept implementation using blocks with unique visual markers in a pick-and-place task domain. Three user studies evaluate the intuitiveness and learnability of situated tangible programming and iterate the block design. We characterize common challenges and gather feedback on how to further improve the design of blocks. Our studies demonstrate that people can interpret, generalize, and create many different situated tangible programs with minimal instruction or with no instruction at all. |
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| AbstractList | This paper introduces situated tangible robot programming, whereby a robot is programmed by placing specially designed tangible "blocks" in its workspace. These blocks are used for annotating objects, locations, or regions, and specifying actions and their ordering. The robot compiles a program by detecting blocks and objects in its workspace and grouping them into instructions by solving constraints. We present a proof-of-concept implementation using blocks with unique visual markers in a pick-and-place task domain. Three user studies evaluate the intuitiveness and learnability of situated tangible programming and iterate the block design. We characterize common challenges and gather feedback on how to further improve the design of blocks. Our studies demonstrate that people can interpret, generalize, and create many different situated tangible programs with minimal instruction or with no instruction at all. |
| Author | Sefidgar, Yasaman S. Agarwal, Prerna Cakmak, Maya |
| Author_xml | – sequence: 1 givenname: Yasaman S. surname: Sefidgar fullname: Sefidgar, Yasaman S. email: einsian@gmail.com organization: University of Washington, Seattle, WA, USA – sequence: 2 givenname: Prerna surname: Agarwal fullname: Agarwal, Prerna email: prerna2@uw.edu organization: University of Washington, Seattle, WA, USA – sequence: 3 givenname: Maya surname: Cakmak fullname: Cakmak, Maya email: mcakmak@cs.washington.edu organization: University of Washington, Seattle, WA, USA |
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| Keywords | end-user robot programming tangible programming programming by demonstration |
| Language | English |
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| SubjectTerms | End-User Robot Programming Human-centered computing -- Human computer interaction (HCI) -- Interactive systems and tools Programming by Demonstration Robot kinematics Robot programming Service robots Tangible Programming Task analysis Visualization |
| Title | Situated Tangible Robot Programming |
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