Multitasking Planning and Executing of Intelligent Vehicles for Restaurant Service by Networking

Intelligent Planning for Autonomous Underwater Vehicles

Exploration for robotic mapping is typically handled using greedy entropy reduction. Here we show how to apply information lookahead planning to a challenging instance of this problem in which an Autonomous Underwater Vehicle (AUV) maps hydrothermal vents. Given a simulation of vent behaviour we derive an observation function to turn the planning for mapping problem into a POMDP. We test a vari...

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...

Image processing and behavior planning for intelligent vehicles

Since the potential of soft-computing for driver assistance systems has been recognized, much effort has been spent in the development of appropriate techniques for robust lane detection, object classification, tracking, and representation of task relevant objects. For such systems in order to be able to perform their tasks the environment must be sensed by one or more sensors. Usually a comple...

Intelligent Planning for Autonomous Underwater Vehicles RSMG Report

study of cohesive devices in the textbook of english for the students of apsychology by rastegarpour

this study investigates the cohesive devices used in the textbook of english for the students of psychology. the research questions and hypotheses in the present study are based on what frequency and distribution of grammatical and lexical cohesive devices are. then, to answer the questions all grammatical and lexical cohesive devices in reading comprehension passages from 6 units of 21units th...