The planner has been implemented as one of the deliberative skills of the mobile robot architecture named AD.
Mobile robot control architectures have matured in two major directions: hierarchical and behaviour-based.
In fact, the system we have developed aims at integrating acoustic, odometric and collision sensors with the mobile robot control architecture.
Applying this architecture on mobile robot swarms, snake-like real-time motion and reactive obstacle avoidance is achieved.
In this paper, efficient resource scheduling strategies for a network-based autonomous mobile robot with hybrid robot control architecture are proposed.
The paper describes how the ideas are implemented in a three-layer architecture on a mobile robot platform.
For a two degrees of freedom robotic mechanism, a mobile robot with two coaxial independently driving wheels, position and velocity control algorithms to follow a planned path cooperatively are implemented, and the performance of the proposed architecture is experimentally evaluated.
The paper describes a real-time multi-processor architecture to control a mobile robot in a real context with environment disturbances and parametric uncertainties.
The mobile robot is driven by behaviour patterns of the behavioural architecture that are used to map the incoming stimuli from ultrasound sensors into responses that affect the voltage's intensity of each wheel's motor.
A new architecture for controlling the navigation of a mobile robot based on the fusion of the output of several controllers is proposed.
