Mobile robots need their position in the workspace. A standard GPS will allow an absolute positioning of the robot in the field, but the position accuracy is not enough to perform unmanned field task. This paper proposes a system for robot localization based on landmark bearings measured by the robot. Since the equipment setup is very simple our proposed technique would be useful for real-world...

A nonparametric learning algorithm is used to build a robust mapping between an image obtained from a mobile robot s on board camera and the robot s cur rent position The mapping uses unprocessed pixel values by pixel image Because the learning algorithm is nonparametric it uses the learn ing data obtained from these raw pixel values to au tomatically choose a structure for the mapping with out...

One of the most important features of the next generation of robots is the mobility and the ability to work in an unstructured environment. Conventional manipulator arms have bounded workspace and are thus appropriate only for some limited tasks. Hence, they need additional devices such as conveyor belts and handling devices in order to perform a task requiring large workspace. A new promising ...

Continuum robotic arms that are inspired from nature, have many advantages compared to traditional robots, which motivate researchers in this field. Dynamic modeling and controlling these robots are challenging subjects due to complicated nonlinearities and considerable uncertainties existing in these structures. In this paper, first a dynamic three-dimensional model of the continuum robotic ar...

We propose a sensor based navigation algorithm for a mobile robot that assures a convergence property when the robot is navigated from a given start position to a goal position while avoiding moving and fixed obstacles. This algorithm guides the robot toward the goal by using its sensor information in an unknown environment. Conventional sensor based navigation algorithms such as Bug algorithm ...

Behavioral studies have shown that hand position influences saccade characteristics. This study examined the neuronal changes that could underlie this behavioral observation. Single neurons were recorded in the frontal eye field (FEF) of 2 monkeys as they executed a visually guided saccade task, while holding their hand at given locations on a touch screen. The task was performed with the hand ...

When exposed to novel visuomotor rotations, subjects readily adapt reaching movements, such that the virtual display of the hand is brought to the target. Whereas this clearly reflects remapping of the relationship between hand movements and the visual display, the nature of this remapping is not well understood. We now examine whether such adaptation results in remapping of the position of the...

in the research, six degrees of freedom hexapod parallel machine tool is studied and investigated. jacobian matrix is developed by cinematic relations differentiation and using weighted coefficient method, dimensional analysis operation is carried out on jacobian matrix. geometric parameters of cartesian robot workspace are optimized, considering a minimum allowable rotation about three axes, a...