Add to ORKGThis paper discusses how uncertainty models of vision-based positioning sensors can be used to support the planning and optimization of positioning actions for mobile robots. Two sensor types are considered: a global vision with overhead cameras, and an on-board camera observing artificial landmarks. The developed sensor models are applied to optimize robot positioning actions in a distributed system of mobile robots and monitoring sensors, and to plan the sequence of actions for a robot cooperating with the external infrastructure supporting its navigation
In the context of a mobile robotic agent, we describe a unified framework for the competencies of lo...
This paper presents a dynamic sensor-planning system that is capa-ble of planning the locations and ...
We propose a new method of sensor planning for mobile robot localization using Bayesian network infe...
this article contributes a method, which plans a global sequence of the positioning actions undertak...
Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobil...
The model-based vision system described in this thesis allows a mobile robot to navigate indoors at ...
In this work we present a control strategy under uncertainty for mobile robot navigation. In par-tic...
Many industrial robotic applications concern a manipulator that pick up objects from a working area,...
This paper presents an approach to the problem of controlling the configuration of a team of mobile ...
Probabilistic robotics most often applied to the problem of simultaneous localisation and mapping (S...
The final publication is available at www.springerlink.comIn this work we present a control strategy...
AbstractAn uncertainty management subsystem for a mobile robot is described within the context of th...
An autonomous mobile robot must be able to elaborate the measures provided by the sensor equipment t...
International audienceThis paper addresses the problem of planning the motions of a circular mobile ...
Abstract: Latest advances in hardware technology and state of the art of mobile robot and artificial...
In the context of a mobile robotic agent, we describe a unified framework for the competencies of lo...
This paper presents a dynamic sensor-planning system that is capa-ble of planning the locations and ...
We propose a new method of sensor planning for mobile robot localization using Bayesian network infe...
this article contributes a method, which plans a global sequence of the positioning actions undertak...
Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobil...
The model-based vision system described in this thesis allows a mobile robot to navigate indoors at ...
In this work we present a control strategy under uncertainty for mobile robot navigation. In par-tic...
Many industrial robotic applications concern a manipulator that pick up objects from a working area,...
This paper presents an approach to the problem of controlling the configuration of a team of mobile ...
Probabilistic robotics most often applied to the problem of simultaneous localisation and mapping (S...
The final publication is available at www.springerlink.comIn this work we present a control strategy...
AbstractAn uncertainty management subsystem for a mobile robot is described within the context of th...
An autonomous mobile robot must be able to elaborate the measures provided by the sensor equipment t...
International audienceThis paper addresses the problem of planning the motions of a circular mobile ...
Abstract: Latest advances in hardware technology and state of the art of mobile robot and artificial...
In the context of a mobile robotic agent, we describe a unified framework for the competencies of lo...
This paper presents a dynamic sensor-planning system that is capa-ble of planning the locations and ...
We propose a new method of sensor planning for mobile robot localization using Bayesian network infe...