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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lewis, M.A. |
| Copyright Year | 2002 |
| Description | Author affiliation: Iguana Robotics Inc., Mahomet, IL, USA (Lewis, M.A.) |
| Abstract | We test the hypothesis that: (1) Optic flow can be used to detect significant environmental features during locomotion in a biped, even given significant up and down movement and jarring of the robot during locomotion. (2) Reliable detection is only possible if a prediction of the expected optic flow field is made at each instance. This prediction should be driven by the phase of the robot's gait as well as other information about the state of the robot. (3) This prediction can be accomplished in a distributed, biologically plausible framework. Our results using a walking biped mechanism strongly support this hypothesis and indicate that optic flow is a viable strategy and that the prediction of optic flow is a critical component in this behavior. |
| Sponsorship | IEEE Robotics & Autom. Soc |
| Starting Page | 305 |
| Ending Page | 310 |
| File Size | 677279 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780372727 |
| DOI | 10.1109/ROBOT.2002.1013378 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Image motion analysis Biomedical optical imaging Optical sensors Robot kinematics Legged locomotion Robot sensing systems Optical devices Optical control Testing |
| Content Type | Text |
| Resource Type | Article |
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