Nature is filled with examples of autonomous creatures capable of dealing with the diversity,
unpredictability, and rapidly changing conditions of the real world. Such creatures must …

Deliberative robots adapt their behavior from cobot to industrial arms as a result of the
interaction dynamic with the human teammates and production context. This powerful …

Quadruped robots have increasingly been used in complex terrains where barriers and
gaps exist. In this paper, a four-legged robot with intelligent controllers is designed and …

The present invention is a controller with artificial intelli gence based on selection from
stored episodic memory and corresponding methods. According to an embodiment of the …

Some approaches to intelligence state that the brain works as a memory system which
stores experiences to reflect the structure of the world in a hierarchical, organized way. Case …

The design of visual robotic behaviors constitutes a substantial challenge. It requires to draw
meaningful relationships and constraints between the acquired visual perception and the …

Although there are many interesting and emerging technologies in the specialized area of
intelligent learning in control systems, this chapter is devoted to four significant technical …

This paper introduces a new model for robot behavior categorization. Correlation based
adaptive resonance theory (CobART) networks are integrated hierarchically in order to …

Current multiagent systems require human operators to communicate in real-time with one
another. A better option would be to have a single human operator control a swarm of …

Multi-robot systems (MRS) are a very active and important research topic nowadays. One of
the main problems of these systems is the large number of variables to take into account …