Liability for Autonomous and Artificially Intelligent Robots

Creative Control for Intelligent Autonomous Mobile Robots

For intelligent robots to accomplish tasks in an unstructured environment, the adaptive critic algorithm has been shown to provide useful approximations or even optimal control policies to non-linear systems. The purpose of this paper is to explore the use of new learning control methods defined as Creative Learning or Creative Control that goes beyond the adaptive critic method for unstructure...

Intelligent decision-making system for autonomous robots

and reaction memories have been isolated within LTM. The abstract memory contains all known discoveries categorized and systematized in groups of more generalized discoveries (for example, chair, sofa, coach, stool, seat, and pouf, can be generalized as seat-places). The reaction memory, on the other hand, contains all po678 Z. Kowalczuk and M. Czubenko H-STM current objects (with subconscious ...

Autonomous Learning Algorithm and Associative Memory for Intelligent Robots

In this paper, we propose autonomous learning algorithm based on the internal state of the associative memory for intelligent robots. The proposed associative memory model consists of structural unstable oscillators and a common field such as chemical concentration. In computer simulations, we use the binary pattern as the stimuli. When the pattern memorized in the network is given to the netwo...

When are robots intelligent autonomous agents?

The paper explores a biologically inspired de nition of intelligent autonomous agents Intelligence is related to whether be havior of a system contributes to its self maintenance Behavior be comesmore intelligent or copes with more ecological pressures when it is capable to create and use representations The notion of repre sentation should not be restricted to formal expressions with a truth t...

Towards the autonomous navigation of intelligent robots for risky interventions