Choice Behavior of Autonomous Vehicles Based on Logistic Models

Behavior-Based Planning for Intelligent Autonomous Vehicles

* New address as of November 3, 1997: Dept. of Mechanical & Mechatronic Engineering University of Sydney, NSW 2006, Australia An architecture is presented in which distributed decision-making processes cooperatively determine a mobile robot’s path by sending votes to a centralized arbiter. One type of arbiter defined within this DAMN architecture performs command fusion to select that action wh...

Behavior Based Decision Control in Autonomous Vehicles:

A Behavior-Based Mission Planner for Cooperative Autonomous Underwater Vehicles

Due to its applications in marine research, oceanographic, and undersea exploration, Autonomous Underwater Vehicles (AUVs) and the related control algorithms has been recently under intense investigation. In this work, we address target detection and tracking issues, proposing a control strategy which is able to benefit from the cooperation among robots within the fleet. In particular, we intro...

Autonomous Diagnosis Based on Software-extended Behavior Models

Model-based diagnosis has traditionally operated on hardware systems. However, in most complex systems today, hardware is augmented with software functions that influence the system’s behavior. In this paper hardware models are extended to include the behavior of associated embedded software, resulting in more comprehensive diagnoses. Capturing the behavior of software is much more complex than...

UNDERSTANDING BEHAVIOR OF ANTINEOPLASTIC MOLECULES BASED ON MLR MODELS

New statistic based models provide a wide area of prediction equipments for different science areas. Among these fields biology have just entered the contest of interdisciplinary sciences. Drug discovery is a long and expensive process which could be decreased with theoretical approaches. In this study, 500 reported assayed anti cancer molecules were extracted from Science Direct articles, sket...