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- | LIving with Robots and InteractivE Companions | + | toulouse lasergame evolution.com http:// |
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- | LIREC aims to establish a multi-faceted theory of artificial long-term companions (including memory, emotions, cognition, communication, | + | |
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- | Key areas of the research will focus on are: | + | |
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- | ==Long term companions== | + | |
- | Robots and agents which build up a long term relationship with their users. | + | |
- | + | ||
- | ==Agent migration== | + | |
- | In order to maintain a long term companionship, | + | |
- | * Mobile robot | + | |
- | * Fixed robot | + | |
- | * Handheld device | + | |
- | * Fixed graphical system | + | |
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- | This migration between these devices, and how people relate to this migration is a core element of the research. | + | |
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- | ===Scenarios=== | + | |
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- | The scenarios are to be considered preliminary ideas for showcases for the technology developed for lirec, and are designed partly to exhibit ways in which | + | |
- | + | ||
- | ==Heriot Watt== | + | |
- | Spirit of the building: | + | |
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- | + | ||
- | ==INESC-ID== | + | |
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- | between real and game world | + | |
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- | ==University of Hertfordshire== | + | |
- | - Fetch and carry, help with physical impairment or convenience | + | |
- | - Cognitive prosthetic - memory aid for tasks etc | + | |
- | - Telepresence card player - robot mediates play | + | |
- | - Teaching Proxemic preferences - robot learns where to be relative to the user in different situations | + | |
- | - Travelling companion - agent migration, to stay with user during home, work, shopping. | + | |
- | + | ||
- | ===Architecture=== | + | |
- | + | ||
- | Has to: | + | |
- | | + | |
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- | - Support migration at runtime between platforms | + | |
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- | Platforms can consist of 4 main types, mobile robot, fixed robot, handheld device or fixed graphical system. Each has it's inherent restrictions. | + | |
- | + | ||
- | ==Existing robot architectures== | + | |
- | In the whole, there is a lack of sharing of this kind of technology. This is partly because generalising is hard in this field, considering all types of robots possible. However, Lirec has to generalise as it's using a wide variety of architectures. | + | |
- | + | ||
- | NASREM/NIST RCS - NASA + ESA use a generic system with their subcontractors. | + | |
- | + | ||
- | ==Methodology== | + | |
- | In the past there have been 2 broad approaches to robot design: | + | |
- | * Heirarchical, | + | |
- | * Behavioural approach = less state, local decisions, liable to local minima, opaque to program | + | |
- | This can be summed up as predictive vs reactive. | + | |
- | + | ||
- | Current thinking is to use a hybrid approach, example BIRON. Where the predictive constrains the reactive to combine local decisions with a world model. | + | |
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- | The architecture will consist of 3 layers of abstraction: | + | |
- | * Level 1 - device layer, architecture dependant | + | |
- | * Level 2 - architecture dependant -> logical mappings | + | |
- | * Level 3 - ION, device independant | + | |
- | + | ||
- | Level 2 will provide a reference architecture with modular capabilities called competencies. Not all competencies will make sense for all architectures, | + | |
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- | Example competencies: | + | |
- | * Face finding | + | |
- | * Expression recognition | + | |
- | * Text to speech | + | |
- | * Obstacle avoidance | + | |
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- | YARP | + |