This thesis is focused on reducing the gap between the acquisition of low level information by robot sensors and the need of obtaining high level information for enhancing human-machine communication and for applying logical reasoning processes. To this end, approaches for qualitative and semantic image description and qualitative distance sensor interpretation were developed. Experimentation was carried out on di↵erent robotic platforms showing useful applications
Abstract — An important prerequisite for intelligent robots to effectively perform daily tasks in in...
In this thesis, semantic mapping is understood to be the process of putting a tag or label on object...
This thesis presents a new approach to the problem of shape representation for high level robot reas...
The automatic extraction of knowledge from the world by a robotic system as human beings interpret t...
Patterns of qualitative concepts are extracted from robot sensors in order to describe the shapes, c...
The automatic extraction of knowledge from the world by a robotic system as human beings interpret t...
One of the long-term goals of our society is to build robots able to live side by side with humans. ...
International audience3D spatial characterization of objects is a key-step for autonomous knowledge ...
With the development of computer and robotic technology, it becomes more and more common for robots ...
There is increasing interest in using Qualitative Spatial Relations as a formalism to abstract from...
Techniques for the detection and recognition of objects have experienced continuous development over...
© 2020 IEEE. Humans perceive and describe their surroundings with qualitative statements (e.g., "Ali...
Abstract — Semantic visual perception for knowledge acqui-sition plays an important role in human co...
International audienceThe paper deals with visual objects' distance evaluation using Soft-Computing ...
Due to recent and extensive advancements in the robotic and artificial intelligence fields, intellig...
Abstract — An important prerequisite for intelligent robots to effectively perform daily tasks in in...
In this thesis, semantic mapping is understood to be the process of putting a tag or label on object...
This thesis presents a new approach to the problem of shape representation for high level robot reas...
The automatic extraction of knowledge from the world by a robotic system as human beings interpret t...
Patterns of qualitative concepts are extracted from robot sensors in order to describe the shapes, c...
The automatic extraction of knowledge from the world by a robotic system as human beings interpret t...
One of the long-term goals of our society is to build robots able to live side by side with humans. ...
International audience3D spatial characterization of objects is a key-step for autonomous knowledge ...
With the development of computer and robotic technology, it becomes more and more common for robots ...
There is increasing interest in using Qualitative Spatial Relations as a formalism to abstract from...
Techniques for the detection and recognition of objects have experienced continuous development over...
© 2020 IEEE. Humans perceive and describe their surroundings with qualitative statements (e.g., "Ali...
Abstract — Semantic visual perception for knowledge acqui-sition plays an important role in human co...
International audienceThe paper deals with visual objects' distance evaluation using Soft-Computing ...
Due to recent and extensive advancements in the robotic and artificial intelligence fields, intellig...
Abstract — An important prerequisite for intelligent robots to effectively perform daily tasks in in...
In this thesis, semantic mapping is understood to be the process of putting a tag or label on object...
This thesis presents a new approach to the problem of shape representation for high level robot reas...