Incorporating active vision into the body schema
Many humanoid robots are built with active vision systems that allow them to foveate objects in an anthropomorphic manner that approximates human eye movement. Unfortunately, the act of foveating an object causes a change in the system's epipolar geometry, the projective relationship between th...
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| Vydáno v: | 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 315 - 316 |
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| Hlavní autoři: | , , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY, USA
ACM
09.03.2009
IEEE |
| Edice: | ACM Conferences |
| Témata: | |
| ISBN: | 1605584045, 9781605584041 |
| ISSN: | 2167-2121 |
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| Abstract | Many humanoid robots are built with active vision systems that allow them to foveate objects in an anthropomorphic manner that approximates human eye movement. Unfortunately, the act of foveating an object causes a change in the system's epipolar geometry, the projective relationship between the two cameras. Interestingly, however, one solution to this problem has a strong relationship with another important problem in humanoid robotics, that of learning the body schema. In this work, we show the relationship between the two problems, building a model that incorporates the active vision system into the body schema. Such a model could be used to both facilitate stereo reconstruction in stereo active vision systems, and to build a relationship between what is seen in the visual field and the underlying kinematics of the robot. This will facilitate development of richer, more life-like, more communicative humanoid robots. |
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| AbstractList | Many humanoid robots are built with active vision systems that allow them to foveate objects in an anthropomorphic manner that approximates human eye movement. Unfortunately, the act of foveating an object causes a change in the system's epipolar geometry, the projective relationship between the two cameras. Interestingly, however, one solution to this problem has a strong relationship with another important problem in humanoid robotics, that of learning the body schema. In this work, we show the relationship between the two problems, building a model that incorporates the active vision system into the body schema. Such a model could be used to both facilitate stereo reconstruction in stereo active vision systems, and to build a relationship between what is seen in the visual field and the underlying kinematics of the robot. This will facilitate development of richer, more life-like, more communicative humanoid robots. |
| Author | Hart, Justin W. Scassellati, Brian Golub, David Avrunin, Eleanor R. Zucker, Steven W. |
| Author_xml | – sequence: 1 givenname: Justin W. surname: Hart fullname: Hart, Justin W. organization: Yale University, New Haven, CT, USA – sequence: 2 givenname: Eleanor R. surname: Avrunin fullname: Avrunin, Eleanor R. organization: Yale University, New Haven, CT, USA – sequence: 3 givenname: David surname: Golub fullname: Golub, David organization: Yale University, New Haven, CT, USA – sequence: 4 givenname: Brian surname: Scassellati fullname: Scassellati, Brian organization: Yale University, New Haven, CT, USA – sequence: 5 givenname: Steven W. surname: Zucker fullname: Zucker, Steven W. organization: Yale University, New Haven, CT, USA |
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| Snippet | Many humanoid robots are built with active vision systems that allow them to foveate objects in an anthropomorphic manner that approximates human eye movement.... |
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| SubjectTerms | Cameras Computer systems organization -- Embedded and cyber-physical systems -- Sensors and actuators Computing methodologies -- Artificial intelligence -- Control methods -- Motion path planning Geometry Joints Kinematics Measurement Robot vision systems Stereo vision Theory |
| Title | Incorporating active vision into the body schema |
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