Unconventional computation in robots
Classical approaches in robot control cannot cope with real world conditions and the need for massive parallelism; hence novel control methods are needed. Good candidates are the unconventional computing methods, such as biologically-inspired biomimetic methods, primarily from the cellular/bacterial level, or cellular automata are exploited for their natural parallelism to tackle computational complexity. Unconventional hardware, i.e. slime mould and other biological computers, the BZ reaction and other chemical computers, or memristors can be used to control robots.
this project we are seeking to investigate novel mechanical and control methodologies to address the issues of distributed manipulation in the micro-scale.
The memristor is the recently discovered 4th electronic circuit element of great interest because it operates very similarly to neurons and can be thought of as an artificial synapse.