We evolve, using AIMGP machine code genetic programming , Discipulus, an approximation of the inverse kinematics of a real robotics arm with many degrees of freedom. Elvis is a bipedal robot with human-like geometry and motion capabilities | a humanoid, primarily controlled by evolutionary adaptive methods. The GP system produces a useful inverse kinematic mapping, from target 3-D points (via p...

The high spatial and temporal variability of the troposphere is well known, as is its effect − through propagation delays − on GPS positioning. This effect can be particularly problematical in airborne kinematic differential positioning where the altitude difference between reference station and aircraft is typically quite large. The use of zenith delay models and mapping functions at ground st...

Hi spectral line mapping studies are a unique probe of morphologically peculiar systems. Not only does HI imaging often reveal peculiarities that are totally unsuspected at optical wavelengths, but it opens a kinematic window into the outer dynamics of these systems that is unmatched at any other wavelength. In this review I attempt to summarize what we have learned from such studies, and what ...

Dave Wells is Professor Emeritus in the Dept. of Geodesy and Geomatics Engineering at UNB, as well as Professor in the Dept. of Marine Science at the University of Southern Mississippi (USM), and Adjunct Professor in the Center for Coastal and Ocean Mapping at the University of New Hampshire. Dave's academic interests include geodesy, applied bathymetry, kinematic positioning, water levels and ...

Solution of inverse kinematic equations is complex problem, the complexity comes from the nonlinearity of joint space and Cartesian space mapping and having multiple solution. In this work, four adaptive neurofuzzy networks ANFIS are implemented to solve the inverse kinematics of 4-DOF SCARA manipulator. The implementation of ANFIS is easy, and the simulation of it shows that it is very fast an...

A new programming paradigm for the contro/ of a robot manipu/ator by leaming the mapping between the Cartesian space and thejoint space (inverse Kinematic) is discussed. Jt is based on a neural network model of optimal mappings between two high-dimensional spaces by Kohonen. This paper describes the approach and presents the optimal mapping, based on the principle of maximal information gain. F...

Mitášová, H., Hofierka, J.: Impact of new mapping technologies on communication of geospatial information. Kartografické listy 2003, 11 Abstract: GPS, new sensors and increased computational power have dramatically changed mapping of Earth systems. Highly automated data acquisition from space, air and ground enables collection of massive amounts of data at short time intervals creating spatio-t...

Localization and mapping are the fundamental ability for underwater robots to carry out exploration and searching tasks autonomously. This paper presents a novel approach to localization and mapping of a school of wirelessly connected underwater robotic fish (URF). It is based on both Cooperative Localization Particle Filter (CLPF) scheme and Occupancy Grid Mapping Algorithm (OGMA). Using the p...

The large number of mechanical degrees of freedom of the hand is not fully exploited during actual movements such as grasping. Usually, angular movements in various joints tend to be coupled, and EMG activities in different hand muscles tend to be correlated. The occurrence of covariation in the former was termed kinematic synergies, in the latter muscle synergies. This study addresses two ques...