Manipulation of paper is a rich domain of manual intelligence that we encounter in many daily tasks. The present project attempts to analyse and implement the "web" of visuo-motor coordination skills to endow an anthropomorphic robot hand with the ability to manipulate paper (and paper-like objects) in a variety of situations of increasing complexity. This will include aspects such as modeling interaction with compliant objects, action based representation as well as bimanual coordination to enable object transformations such as tearing and folding.
Computer Vision and processing of multimodal sensor data is very important to take Smart Homes to the next level. An intelligent everyday environment should be aware of its residents. It should understand their actions and ideally even be able to predict their behavior. In the KogniHome project, we are developing computer vision and signal processing methods for three demonstrators: (1) KogniChef, a cognitive cooking assistant, (2) KogniMirror, a human aware smart mirror and (3) KogniDoor, an intelligent entrance door.
Manipulation of paper is a rich domain of manual intelligence that we encounter in many daily tasks. The present project attempts to analyse and implement the "web" of visuo-motor coordination skills to endow an anthropomorphic robot hand with the ability to manipulate paper (and paper-like objects) in a variety of situations of increasing complexity. This will include aspects such as modeling interaction with compliant objects, action based representation as well as bimanual coordination to enable object transformations such as tearing and folding.
Computer Vision and processing of multimodal sensor data is very important to take Smart Homes to the next level. An intelligent everyday environment should be aware of its residents. It should understand their actions and ideally even be able to predict their behavior. In the