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Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where manipulator arms, Cartesian robots, etc., widely outcomes human capacity. However, the achievement of a robust and reliable autonomous mobile robot, with ability to evolve and accomplish general tasks in unconstrained...
The term foveated vision refers to sensor architectures based on smooth variation of resolution across the visual field, like that of the human visual system. The foveated vision, however, is usually treated concurrently with the eye motor system, where fovea focuses on regions of interest (ROI). Such visual sensors expected to have wide range of machine vision applications in situations...
In control system design, modeling the control objects is the foundation of high performance controllers. In most cases, the model is unknown before the task is performed. To learn the model, therefore, is essential. Generally, real-time systems use the sensors to measure the environment and the objects. The model learning task is particularly difficult when real-time control systems run...
In the last years, one of the main challenges in robotics is to endow the robots with a grade of intelligence in order to allow them to extract information from the environment and use that knowledge to carry out their tasks safely. The intelligence allows the robots to improve their survival in the real world. Two main characteristics that every intelligent system must have are [1]:
Recent developments in digital technology have increased acquisition of digital video data, which in turn have led to more applications in video processing. Video sequences provide additional information about how scenes and objects change over time when compared to still images. The problem of tracking moving objects remains of great research interest in computer vision on account of various...
In the last few decades, constructing accurate three-dimensional models of real-world objects has drawn much attention from many industrial and research groups. Earlier, the 3D models were used primarily in robotics and computer vision applications such as bin picking and object recognition. The models for such applications only require salient geometric features of the objects so that the...
The fact that people are embodied places powerful constraints on their motion. By leveraging these constraints, we can build systems to perceive human motion that are fast and robust. More importantly, by understanding how these constraint systems relate to one another, and to the perceptual process itself, we can make progress toward building systems that interpret, not just capture, human...
This paper advocates the concept of user modeling (UM), which involves dialogue strategies. We focus on human-machine collaboration, which is endowed with human-like capabilities and in this regard, UM could be related to cognitive modeling, which deals with issues of perception, behavioral decision and selective attention by humans. In our UM, approximating a pay-off matrix or function will...
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