The Phoenix project leverages ongoing INCAS³ research into mote technology to propel radical technological advancements in a variety of sectors, where the exploration of unknowable terrain is crucial. This technology will provide a greater understanding of environmental and technological  processes in various areas ranging from mining and heavy oil industry to processes associated with flooding and snowmelts in remote regions.

Phoenix is devoted to developing new kinds of versatile physical agents that are capable of evolving to optimally explore and characterize unknown environments. To achieve this, Phoenix relies on a unique paradigm: virtual copies of physical agents perform measurements in a virtual environment which is developed with recourse to models of implicit knowledge.  These measurements guide the evolution of both agents and models of the environment leading to the new generations of optimized physical agents ready for deployment. These agents will develop self-organizing, self-adapting features that optimize the quantity and quality of information about an unknown environment.   

Coordinated by the Technical University Eindhoven, and in collaboration with KU Leuven, and ICE RWTH Aachen, Phoenix is a highly multidisciplinary endeavor that combines expertise in engineering and the Natural Sciences with Evolutionary Computation and Knowledge Representation. This 4-year project started 1st October 2015.

Updates are here.




Elena Talnishnikh
elenatalnishnikh (at)
+31 (592) 860000