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"If you could see me through my eyes": Predicting Pedestrian Perception
In a preliminary study, we use synthetic data from simulations of a specific pedestrian crossing scenario to train a variational autoencoder and a long short-term memory network to predict a pedestrian's future visual perception.
Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise
There is no task-dependent bias or any other explicit predetermination for the different qualities of the emerging patterns.
A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems
The evolved controllers augment the plants' natural light-finding and tissue-stiffening behaviors to avoid obstacles and grow desired shapes.
Sooner than Expected: Hitting the Wall of Complexity in Evolution
We propose here the 'Wankelmut' task as an objective for an evolutionary approach that starts from scratch without pre-shaped controller software or any other informed approach that would force the behavior to be evolved in a desired way.
Investigation of A Collective Decision Making System of Different Neighbourhood-Size Based on Hyper-Geometric Distribution
The study of collective decision making system has become the central part of the Swarm- Intelligence Related research in recent years.
