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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takahashi, Y. Kawamata, T. Asada, M. Negrello, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Osaka Univ., Suita (Takahashi, Y.; Kawamata, T.) |
| Abstract | Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed movements performed by self and other. The concept of the mirror neurons/systems[1] is very interesting and suggests that behavior acquisition and the inferring intention of other are related to each other. That is, the behavior learning modules might be used not only for behavior acquisition/execution but also for the understanding of the behavior/intention of other. We propose a novel method not only to learn and execute a variety of behaviors but also to understand behavior of others supposing that the observer has already acquired the utilities (state values in reinforcement learning scheme) of all kinds of behaviors the observed agent can do. The method does not need a precise world model or coordination transformation system to deal with view difference caused by different viewpoints. This paper shows that an observer can understand/recognize a behavior of other not by precise object trajectory in allocentric/egocentric coordinate space but by estimated utility transition during the observed behavior. |
| Starting Page | 3950 |
| Ending Page | 3955 |
| File Size | 511918 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424409112 |
| DOI | 10.1109/IROS.2007.4399385 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Emulation Learning Robot kinematics Intelligent robots Mirrors Neurons Observers Orbital robotics Space exploration Actuators |
| Content Type | Text |
| Resource Type | Article |
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