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- | LIving with Robots and InteractivE Companions | + | ====== |
- | ===Scenarios=== | + | < |
- | =Heriot Watt= | + | http://www.lirec.org |
- | Spirit of the building: | + | |
- | 1. Team buddy, mobile robot, collective memory for a lab team | + | |
- | 2. Personal guide - for navigating around a university campus, remember appointments etc | + | |
- | 3. In the wild - a gossip/chat robot - appears on a large screen in social area | + | |
- | =INESC-ID= | + | =====Theory===== |
- | 1. Game companion for young children | + | |
- | 2. Personal trainer (migrate to mobile robot for jogging exercises etc) | + | |
- | 3. Welcome to the jungle - talk to game characters through a robot, robot can alternate | + | |
- | between real and game world | + | |
- | =University | + | [[Models |
- | 1. Fetch and carry, help with physical impairment or convenience | + | |
- | 2. Cognitive prosthetic - memory aid for tasks etc | + | |
- | 3. Telepresence card player - robot mediates play | + | |
- | 4. Teaching Proxemic preferences - robot learns where to be relative to the user in different situations | + | |
- | 5. Travelling companion - agent migration, to stay with user during home, work, shopping. | + | |
- | ===Architecture=== | + | ====Agent platforms==== |
- | Has to: | + | The platforms currently under consideration for long term companions are: |
- | 1. Run on very different platforms | + | * Mobile robots |
- | 2. Reuse code across these platforms | + | * Fixed robots |
- | 3. Support migration at runtime between platforms | + | * Handheld devices |
+ | * Fixed graphical systems | ||
- | Platforms can consist | + | =====Migration===== |
+ | |||
+ | An interesting feature | ||
+ | |||
+ | ======Scenarios====== | ||
+ | |||
+ | In order to test and showcase the technology developed for Lirec, several scenarios have been designed to promote companionship. These scenarios are shared between three of the research partners. | ||
+ | |||
+ | ====Heriot Watt==== | ||
+ | Spirit of the building: | ||
+ | - Team buddy, a mobile robot/ | ||
+ | - Personal guide - for navigating around a university campus, remembering appointments, | ||
+ | - In the wild - a gossip/chat robot - appears on a large screen in a social area | ||
- | =Existing robot architectures= | + | ====INESC-ID==== |
- | 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. | + | - Game companion for young children |
+ | - Personal trainer - which can migrate to mobile robot for jogging exercises | ||
+ | - Welcome to the jungle - talk to game characters through | ||
- | NASREM/NIST RCS - NASA + ESA use a generic system | + | ====The University of Hertfordshire==== |
+ | - Fetch and carry, to help with physical impairment or provide convenience | ||
+ | - Cognitive prosthetic - memory aid for tasks | ||
+ | - Telepresence card player | ||
+ | - Teaching proxemic preferences - a robot learns where to be relative to the user in different situations | ||
+ | - Travelling companion - agent migration, to stay with user during home, work, shopping | ||
- | =Methodology= | + | ======Experimental testing====== |
- | In the past there have been 2 broad approaches to robot design: | + | |
- | * Heirarchical, | + | |
- | * Behavioural approach | + | |
- | 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. | + | All scenarios developed are to be experimentally tested and showcased |
- | The architecture will consist of 3 layers of abstraction: | + | ======Architecture====== |
- | 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, | + | [[Lirec Architecture]] |
- | Example competencies: | + | ======Links====== |
- | * Face finding | + | |
- | * Expression recognition | + | |
- | * Text to speech | + | |
- | * Obstacle avoidance | + | |
+ | [[Lirec Work Packages]] | ||
+ | [[http:// | ||
- | YARP |