Cited By
View all- Schött SAmin RButz A(2023)A Literature Survey of How to Convey Transparency in Co-Located Human–Robot InteractionMultimodal Technologies and Interaction10.3390/mti70300257:3(25)Online publication date: 25-Feb-2023
Prediction and Production of Human Reaching Trajectories for Human-Robot Interaction
Authors: 
Sara Sheikholeslami, Justin W. Hart, Wesley P. Chan, Camilo P. Quintero, Elizabeth A. CroftAuthors Info & Claims
Sara Sheikholeslami, Justin W. Hart, Wesley P. Chan, Camilo P. Quintero, Elizabeth A. CroftAuthors Info & ClaimsPages 321 - 322
Abstract
In human-human interactions, individuals naturally achieve fluency by anticipating the partner»s actions. This predictive ability is largely lacking in robots, leading to stilted human-robot interactions. We aim to improve fluency in human-robot reaching motions using a unified predictive model of human reaching motions. Using this model, we allow the robot to infer human intent, while also applying the same model to generate the robot»s motion to make its intent more transparent to the human. We conducted a study on human reaching motion and constructed an elliptical motion model that is shown to yield a good fit to empirical data. In future studies, we plan to confirm the effectiveness of this model in predicting human intent and conveying robot intent for achieving fluency in human-robot handovers.
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Index Terms
- Prediction and Production of Human Reaching Trajectories for Human-Robot Interaction
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Information & Contributors
Information
Published In
March 2018
431 pages
ISBN:9781450356152
DOI:10.1145/3173386
- General Chairs:
- Takayuki Kanda,
- Selma Ŝabanović,
- Program Chairs:
- Guy Hoffman,
- Adriana Tapus
Copyright © 2018 Owner/Author.
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.
Sponsors
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
- IEEE-RAS: Robotics and Automation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 March 2018
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- Abstract
Conference
HRI '18: ACM/IEEE International Conference on Human-Robot Interaction
March 5 - 8, 2018
IL, Chicago, USA
Acceptance Rates
HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;
Overall Acceptance Rate 192 of 519 submissions, 37%
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View all- Schött SAmin RButz A(2023)A Literature Survey of How to Convey Transparency in Co-Located Human–Robot InteractionMultimodal Technologies and Interaction10.3390/mti70300257:3(25)Online publication date: 25-Feb-2023
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