Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot
A customizable anthropomorphic telepresence robot (CATR) is an emerging medium that might have the highest degree of social presence among the existing mediated communication mediums. Unfortunately, there are problems with teleoperating a CATR, and these problems can deteriorate the gesture motion i...
| Main Authors: | , , |
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| Other Authors: | |
| Language: | English |
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2018
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| Online Access: | https://hdl.handle.net/10356/89320 http://hdl.handle.net/10220/44859 |
| _version_ | 1811680655621226496 |
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| author | Gu, William Seet, Gerald Magnenat-Thalmanna, Nadia |
| author2 | Institute for Media Innovation |
| author_facet | Institute for Media Innovation Gu, William Seet, Gerald Magnenat-Thalmanna, Nadia |
| author_sort | Gu, William |
| collection | NTU |
| description | A customizable anthropomorphic telepresence robot (CATR) is an emerging medium that might have the highest degree of social presence among the existing mediated communication mediums. Unfortunately, there are problems with teleoperating a CATR, and these problems can deteriorate the gesture motion in a CATR. These problems are the disruption during decoupling, discontinuity due to the unstable transmission and jerkiness due to the reactive collision avoidance. From the review, none of the existing interfaces can simultaneously fix all of the problems. Hence, a novel framework with the perception-link behavior model (PLBM) was proposed. The PLBM adopts the distributed spatiotemporal representation for all of its input signals. Equipping it with other components, the PLBM can solve the above problems with some limitations. For instance, the PLBM can retrieve missing modalities from its experience during decoupling. Next, the PLBM can handle up to a high level of drop rate in the network connection because it is dealing with gesture style and not pose. For collision prevention, the PLBM can tune the incoming gesture style so that the CATR can deliberately and smoothly avoid a collision. In summary, the framework consists of PLBM being able to increase the user’s presence on a CATR by synthesizing expressive user gestures. |
| first_indexed | 2024-10-01T03:28:30Z |
| id | ntu-10356/89320 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:28:30Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/893202020-09-26T22:05:06Z Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot Gu, William Seet, Gerald Magnenat-Thalmanna, Nadia Institute for Media Innovation Robotics Research Centre Unsupervised Modeling Gesture Synthesis A customizable anthropomorphic telepresence robot (CATR) is an emerging medium that might have the highest degree of social presence among the existing mediated communication mediums. Unfortunately, there are problems with teleoperating a CATR, and these problems can deteriorate the gesture motion in a CATR. These problems are the disruption during decoupling, discontinuity due to the unstable transmission and jerkiness due to the reactive collision avoidance. From the review, none of the existing interfaces can simultaneously fix all of the problems. Hence, a novel framework with the perception-link behavior model (PLBM) was proposed. The PLBM adopts the distributed spatiotemporal representation for all of its input signals. Equipping it with other components, the PLBM can solve the above problems with some limitations. For instance, the PLBM can retrieve missing modalities from its experience during decoupling. Next, the PLBM can handle up to a high level of drop rate in the network connection because it is dealing with gesture style and not pose. For collision prevention, the PLBM can tune the incoming gesture style so that the CATR can deliberately and smoothly avoid a collision. In summary, the framework consists of PLBM being able to increase the user’s presence on a CATR by synthesizing expressive user gestures. NRF (Natl Research Foundation, S’pore) Published version 2018-05-22T08:45:58Z 2019-12-06T17:22:48Z 2018-05-22T08:45:58Z 2019-12-06T17:22:48Z 2017 Gu, W., Seet, G., & Magnenat-Thalmanna, N. (2017). Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot. Robotics, 6(3), 16-. 2218-6581 https://hdl.handle.net/10356/89320 http://hdl.handle.net/10220/44859 10.3390/robotics6030016 en Robotics © 2017 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 26 p. application/pdf |
| spellingShingle | Unsupervised Modeling Gesture Synthesis Gu, William Seet, Gerald Magnenat-Thalmanna, Nadia Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot |
| title | Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot |
| title_full | Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot |
| title_fullStr | Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot |
| title_full_unstemmed | Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot |
| title_short | Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot |
| title_sort | perception link behavior model supporting a novel operator interface for a customizable anthropomorphic telepresence robot |
| topic | Unsupervised Modeling Gesture Synthesis |
| url | https://hdl.handle.net/10356/89320 http://hdl.handle.net/10220/44859 |
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