Recent scientific research has demonstrated that single cells can exhibit characteristics of intelligence. Cellular intelligence is thought to be an emergent characteristic of complex biochemical networks. Biochemical networks exist within all living organisms, they are constructed from interconnected cellular processes and function to regulate intra-cellular activity, and interactions between cells.
Established Biomimetic AI techniques, and the recent interest around cellular intelligence, have inspired researchers to develop new AI techniques. One example of such research is the biomimetic AI technique "artificial biochemical networks" or ABNs.
ABNs have been applied within the domain of computing to robotic control and pattern recognition systems.  This research highlighted the advantages of ABNs in comparison to traditional connectionist AI techniques. Development of this technique is in its infancy, and further examination may yield additional benefits.
My research involves the development of current artificial biochemical network representations for robotic control and exploration of novel applicability.
Overall aim: Development of new AI connectionist method for robotic control. 
Below is a simple example of the mechanism from which the artificial biochemical network was inspired i.e. a cell signalling network.