By Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales
This publication constitutes the court cases of the thirteenth overseas convention on Simulation of Adaptive habit, SAB 2014, held in Castellón, Spain, in July 2014. The 32 papers awarded during this quantity have been rigorously reviewed and chosen for inclusion within the court cases. They conceal the most components in animat examine, together with the animat procedure and method, belief and motor regulate, navigation and inner global types, studying and variation, evolution and collective and social behavior.
Read Online or Download From Animals to Animats 13: 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings PDF
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Additional info for From Animals to Animats 13: 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings
Apparently, diﬀerent parameter conﬁgurations can lead to similar behavior. The forward model has a more deﬁned structure, at least later in the experiment, see Fig 5(c). During the swinging and high motions, Self-exploration of Stumpy with Pimax high rocking, slow locomotion 39 swinging, moving in place Fig. 6. Diﬀerent behaviors emerged from the control of the Stumpy with the Pimax. During the swinging motion, the robot swings to either side and then, just before falling, moves the upper body towards the center.
65 units (indicated by the light grey half-disk). 05 units ahead (dark grey half-disk). Its response signal is inversely proportional to the sensed distance and scaled to the range [0, 1]. 4 units in length. The angular range covered by the surfaces is 30◦ (0 ± 15◦). 5◦ ) but not shown here for clarity. The task is to move the agent’s end effector along the particular surface presented in each trial, even after its touch sensor is disabled. A version of the microbial genetic algorithm  is used to search for neural network parameters that allow the agent to solve this task.
The sensor s4 (top front-back) shows a faint trace typically at twice the frequency. The motion was very steady and smooth, also due to the fact that the sensor readings were much smoother than compared to the previous experiments, where the robot had to deal with strong impacts. This can also be observed in the collected sensory data and the corresponding wavelet transformation in Fig 8. In this experiment the robot started to rotate already after about 70 seconds (step 1600). After 150 seconds (step 3250) the robot was manually stopped.