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several papers recently proposed to explicitly encourage the diversity of the robot behaviors, rather than the diversity of the genotypes as in classic evolutionary optimization. Such an approach avoids the need to compute distances between structures and the pitfalls of the noninjectivity of the phenotype/behavior relation; however, it also introduces new questions: how to compare behavior?

In this paper, we review the main published approaches to behavioral diversity and benchmark them in a common framework.

The results show that fostering behavioral diversity substantially improves the evolutionary process in the investigated experiments, regardless of genotype or task.

engineers seem to have a diminished ability to understand biology

Remember them the next time you read a story claiming some brain-like accomplishment of a computer. The only really human thing these programs are doing is attracting attention to themselves

EuroGeo team developed a wearable-computer platform for testing computer-vision exploration algorithms in real-time at geological or astrobiological field sites, focusing on the concept of "uncommon mapping"  in order to identify contrasting areas in an image of a planetary surface. Recently, the system was made more ergonomic and easy to use by porting the system into a phone-cam platform connected to a remote server.

a second computer-vision exploration algorithm using a  neural network in order to remember aspects of previous images and to perform novelty detection

Japanese scientists have built a cellular automaton from individual molecules that carries out huge numbers of calculations in parallel

Ref: arxiv.org/abs/1110.5844: Massively Parallel Computing An An Organic Molecular Layer