Intelligent and Interactive Systems

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research:projects [2017/11/11 13:03]
c7031007
research:projects [2018/09/07 11:29]
127.0.0.1 external edit
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 +===== Completed Projects (Selection) =====
  
 {{:​research:​squirrel.png?​nolink&​200 |}}[[http://​www.squirrel-project.eu/​|SQUIRREL]] (EU FP7-ICT-STREP,​ 2014-2018): Clutter in an open world is a challenge for many aspects of robotic systems, especially for autonomous robots deployed in unstructured domestic settings, affecting navigation, manipulation,​ vision, human robot interaction and planning. ​ SQUIRREL addresses these issues by actively controlling clutter and incrementally learning to extend the robot'​s capabilities while doing so. We term this the B3 (bit by bit) approach, as the robot tackles clutter one bit at a time and also extends its knowledge continuously as new bits of information become available. ​ SQUIRREL is inspired by a user driven scenario, that exhibits all the rich complexity required to convincingly drive research, but allows tractable solutions with high potential for exploitation. We propose a toy cleaning scenario, where a robot learns to collect toys scattered in loose clumps or tangled heaps on the floor in a child'​s room, and to stow them in designated target locations. {{:​research:​squirrel.png?​nolink&​200 |}}[[http://​www.squirrel-project.eu/​|SQUIRREL]] (EU FP7-ICT-STREP,​ 2014-2018): Clutter in an open world is a challenge for many aspects of robotic systems, especially for autonomous robots deployed in unstructured domestic settings, affecting navigation, manipulation,​ vision, human robot interaction and planning. ​ SQUIRREL addresses these issues by actively controlling clutter and incrementally learning to extend the robot'​s capabilities while doing so. We term this the B3 (bit by bit) approach, as the robot tackles clutter one bit at a time and also extends its knowledge continuously as new bits of information become available. ​ SQUIRREL is inspired by a user driven scenario, that exhibits all the rich complexity required to convincingly drive research, but allows tractable solutions with high potential for exploitation. We propose a toy cleaning scenario, where a robot learns to collect toys scattered in loose clumps or tangled heaps on the floor in a child'​s room, and to stow them in designated target locations.
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 {{:​research:​3rdhand.png?​nolink&​110 |3rdHand}} {{:​research:​3rdhand.png?​nolink&​110 |3rdHand}}
research/projects.txt · Last modified: 2024/02/19 12:24 by Antonio Rodriguez-Sanchez