About 217 results
- C++ toolkit and custom support for robotic control.
Adwww.superdroidrobots.com/RobotKitsProfessional And Educational. RC, Autonomous, & Programmable
Makoto Kaneko, Yoshihiko Nakamura - 2010 - Preview
|The notion of the sparse control problem is that the amount of information a |
human can reasonably specify within a ... Example control applications are 2D
cursor control , planar mobile robots , and discrete control of 4 DOF robot
arms [8,3]. Bitzer and van der Smagt  have performed high- DOF robot hand
control by reducing the DOFs to a discrete set of poses ... lower dimensional
subspace arising from biomechanical redundancy and statistical studies in
human movement [11, ...
|These problems are also analyzed using statistical models and solved using rigorous engineering techniquesTopics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the ...|
|Code validation [KFK-4949-PT-2] 23 p4011 N92-32858 Better predictions even |
in reduced input variable numbers using ... 23 p4062 N92-32952 Active control of
sound transmission through stiff lightweight composite fuselage constructions 23
... [DE92-018056] 24 p4228 N92-33892 On minimum time six-degree-of-freedom
turning maneuvers for a high-alpha ... 24 p4229 N92-33993 Quantitative model
validation of manipulative robot systems 24 p4187 N92-33998 Finite difference ...
|The book, which is self contained, begins with background material from mathematics, computers, and neurophysiology; this is followed by a step by step development of the memory model.|
|An overview of all aspects of mobility in robotics, including software and hardware design considerations, relatedtechnologies, and algorithmic techniques.|
|Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Analysis, Measurement, Monitoring, ...|
|This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field.|
|This book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D ...|
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