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lirec_notes [2009-01-06 15:08] davegriffithslirec_notes [2009-01-06 15:28] davegriffiths
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 LIREC aims to establish a multi-faceted theory of artificial long-term companions (including memory, emotions, cognition, communication, learning, etc.), embody this theory in robust and innovative technology and experimentally verify both the theory and technology in real social environments. Whether as robots, social toys or graphical and mobile synthetic characters, interactive and sociable technology is advancing rapidly. However, the social, psychological and cognitive foundations and consequences of such technological artefacts entering our daily lives - at work, or in the home - are less well understood. LIREC aims to establish a multi-faceted theory of artificial long-term companions (including memory, emotions, cognition, communication, learning, etc.), embody this theory in robust and innovative technology and experimentally verify both the theory and technology in real social environments. Whether as robots, social toys or graphical and mobile synthetic characters, interactive and sociable technology is advancing rapidly. However, the social, psychological and cognitive foundations and consequences of such technological artefacts entering our daily lives - at work, or in the home - are less well understood.
  
-==Agent platforms, and migration between them==  +==Links== 
-An interesting feature of agents which need to build up a long term relationship with their users will be movement between different platforms. The platforms currently under investigation are:+ 
 +http://www.lirec.org 
 + 
 +==Agent platforms== 
 + 
 +The platforms currently under consideration for long term companions are:
   * Mobile robots   * Mobile robots
   * Fixed robots   * Fixed robots
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   * Fixed graphical systems   * Fixed graphical systems
  
-This migration between these devices, and how people relate to it, is a core element of the research.+==Migration== 
 +  
 +An interesting feature of the research is migration betwen these platforms. Agents which need to build up a long term relationship with their users will have to switch forms depending on the needs of the user at different times. The migration of an agent between devices, and how people relate to it, is a core element of the research.
  
 ===Scenarios=== ===Scenarios===
  
-The scenarios are to be considered preliminary ideas for showcasing the technology developed for lirec, and highlight companionship and mostly exercise migration between devices.+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== ==Heriot Watt==
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     between real and game world     between real and game world
  
-==University of Hertfordshire==+==The University of Hertfordshire==
   - Fetch and carry, help with physical impairment or convenience   - Fetch and carry, help with physical impairment or convenience
   - Cognitive prosthetic - memory aid for tasks etc   - Cognitive prosthetic - memory aid for tasks etc
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   - Teaching Proxemic preferences - robot learns where to be relative to the user in different situations   - 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.   - Travelling companion - agent migration, to stay with user during home, work, shopping.
 +
 +===Experimental testing===
 +
 +All scenarios are to be experimentally tested in public.
  
 ===Architecture=== ===Architecture===
  
-Has to:+The technology developed for lirec is shared between the research partners, and has to:
   - Run on very different platforms   - Run on very different platforms
   - Reuse code across these platforms   - Reuse code across these platforms
   - Support migration at runtime between platforms   - Support migration at runtime between platforms
- 
-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== ==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.+In the whole, there has historically been a lack of sharing of this kind of technology. This is partly because generalising is hard, considering all types of robots possible. However, Lirec has to generalise as it's using a wide variety of architectures and needs to share as much as possible.
  
-NASREM/NIST RCS NASA + ESA use generic system with their subcontractors.+While some existing architectures are available, none of them address the needs of lirec, given the focus: 
 +  Long term companionship rather than purely technical problem 
 +  - Working across different platforms
  
 ==Methodology== ==Methodology==
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 This can be summed up as predictive vs reactive. This can be summed up as predictive vs reactive.
  
-The plan is to use a hybrid approach, example BIRON. Where the predictive constrains the reactive to combine local decisions with a world model.+The plan is to use a hybrid approach, example [[http://www.techfak.net/ags/ai/projects/BIRON/welcome.html|BIRON]]. Where the predictive constrains the reactive to combine local decisions with a world model.
  
 The architecture will consist of 3 layers of abstraction: The architecture will consist of 3 layers of abstraction:
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   * Obstacle avoidance   * Obstacle avoidance
  
-YARP+[[http://eris.liralab.it/yarp/|YARP]] is a good example of sharing code in this way on a Linux platform. 
  • lirec_notes.txt
  • Last modified: 2020-06-05 22:30
  • by nik