Deliverables

Year 1

• Action Related Attention in Grasping (D2)


• Human Body Detection and Tracking (D3)


• Representations and Ontology for Learning and Abstraction of Grasping (D4)


• Grasping Control Architecture, robust Grasping Primitives and Sensor Uncertainty Modeling (D5)


• Integrating Components for Synthesis Merging predicted, pre-reasoning, pre-attention and Visual Attention (D6)


• Monitoring the Environment for Surprise (D7)


• System Integration in Grasp (D8)


• First Version of the Simulator, Core Architecture and the Representation Standards (D9)

Year 2

• The psychology of action-related attentional mechanisms (D10)


• Vision based detection, tracking and representation of human hands in action (D11)


• Occulomotor vision based system for object and action learning (D12)


• Temporal Grounding of Primitives and Adaptive Grasping Primitives (D13)


• Integrated perception/context model extended to the perception of hand-environment interaction for an initial set of objects (D14)


• Mapping of Sensor Model to the Ideal Observer and Segmenting new action types (D15)


• Development of Robot Hand Models and Sensor Emulation in the simulator (D16)


• Requirements on the Cognitive Architecture for Grasping and Dexterous Manipulation (D17)

Year 3 and Year 4