**Author details**

Oscar Chang1,2,3\*

**8.2. Experiment 2. Low human activity**

138 Human-Robot Interaction - Theory and Application

**9. Conclusions**

required to evolve reliable robots.

is to get the coconut pressed against the robot.

moving body bending and uses it to push the coconut all the way up.

push the coconut all the way up, out of the body's gap (**Figure 11b**).

activity, all behaviors are constantly self-pushed from the inside.

rated, carefully knitted constructions with pronounced job specializations.

For this setting, the human players stay mostly inactive, as a passive wall whose only function

**Figure 11.** Evolved autonomous robots. (A) When human do most of the active part of the game, the evolved robots learn to stay upright, facilitating the human actions, but show little or null body wave activity. (B) When the human provides little game action and puts the coconut-lifting responsibility in the robot, evolution teaches the robot the connotation of the game. The evolved robot develops an autonomous dynamic response that learned to produce its own mechanical

By using the same fitness formula of experiment 1, a quite different outcome is obtained. Although the human provides little action to the game, the fitness formula put all the coconutlifting responsibility in the robot. In other words, evolution teaches the robot the connotation of the game. The final evolutive result, after about 19,000 mutations, is a robot with an autonomous dynamic response that learned to produce its own moving body bending and uses it to

By coupling two self-activated n-flops, we end up with an autonomous behavior initiator system that mimics the functioning of a living brain, in the sense that a default network consumes energy and is ready to initiate other behaviors under specific stimulus. Due to n-flops

With behaviors pushing from the inside, the robot is quite ready to face the real word and quickly learn new tricks. This is corroborated by the relative small number of mutation

Our model incorporates some basic aspect of biological brains: (a) a fraction of the overall activity of all energy used by the autonomous neural controller (ANC) occurs in circuits unrelated to any external event. (b) In terms of structure, the components of the ANC are sepa\*Address all correspondence to: ochang@yachaytech.edu.ec

1 Yachay Tech. School of Mathematical Sciences and Information Technology, Republic of Ecuador

2 Universidad Central de Venezuela (UCV), School of Electrical Engineering, Graduate Studies Program, Venezuela

3 Prometeo Project, SENESCYT, Republic of Ecuador
