The general objectives of eMorph are to implement embodied intelligence by designing space-variant morphologies and computational structures of neuromorphic sensors together with the development of asynchronous data-driven algorithms that best exploit the properties of the sensor.

To reach these general objectives we will proceed by addressing three specific subgoals:

• design and build VLSI asynchronous, data-driven, neuromorphic visual sensors
• develop a new methodology, algorithms, and a dedicated hardware infrastructure for processing asynchronous data (i.e. events) in real-time
• validate the potential of this new approach on the humanoid robot iCub