Titlebook: Advances in Intelligent Autonomous Systems; Spyros G. Tzafestas Book 1999 Springer Science+Business Media Dordrecht 1999 Intelligent Auton

ONYM

An Omnidirectional Control Algorithm for Walking Machines Based on a Wave-Crab GaitLegged machines are inherently omnidirectional vehicles, i.e., they have the ability to move in any direction by modifying their foot trajectories and/or leg sequence. The bibliography contains diverse omnidirectional control algorithms, depending on the gait [1]-[6].

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On the Design of a Control Architecture for an Autonomous Mobile Robotnomous wheeled mobile platform for transportation in an industrial environment. This model results from successive incremental refinements consolidated over the years with the experience accumulated in a number of R&D projects (e.g., [1], [2]) with special emphasis for the NATO funded PO-Robot project [3].

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Intelligent Autonomous Robotic Systems: Some General Issues and Two Representative Research Prototypng, painting, material handling etc. and in other real-life environments for various service tasks (domestic, health care etc.) [1,2]. Two basic problems in autonomous robotic systems are:(i) the path and motion planning problem, and (ii) the motion control problem. Given the path provided by the pa

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Increased Autonomy in Industrial Robotic Systems: A Frameworkd by the control system and the actions described in the programs are carried out in the work-cell [12]. It is in most cases possible to attach sensors to the control system for receiving work-cell information. However, in today‘s industrial robotic systems sensors have limited influence on the pres

Medicare

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Sensors Used for Autonomous Navigationde these two basic procedures to perform any useful task. The information generally required for navigation is the direction, speed, and position of the vehicle. The basic navigation techniques were designed several years ago to navigate vessels across the ocean. In the past the position of ships wa

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Mapping and Navigating in Time-Varying Obstacle Fieldsnaged tight couplings between localisation, environmental mapping and path planning/execution sub-system components [ See Figure 1]. Various modalities of this scenario require more complex instrumentation and algorithmic considerations according to the degree of uncertainty which must be accommodat

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