Data Based Steering of Virtual Human Using a Velocity-Space Approach

Velocity space approach to motion planning of nonholonomic systems

Robotica ◽

10.1017/s0263574706003213 ◽

2007 ◽

Vol 25 (3) ◽

pp. 359-366 ◽

Cited By ~ 4

Author(s):

Ignacy Duleba ◽

Wissem Khefifi

Keyword(s):

Motion Planning ◽

Inverted Pendulum ◽

Nonholonomic Systems ◽

Velocity Space ◽

Space Method ◽

Space Approach

SUMMARYIn this paper, a velocity space method of motion planning for nonholonomic systems is presented. This method, based on Lie algebraic principles and locally around consecutive current states, plans a motion towards a goal. It is effective as most of the computations can be carried out analytically. This method is illustrated on the unicycle robot and the inverted pendulum.

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Characterizing Indoor Environment for Robot Navigation Using Velocity Space Approach With Region Analysis and Look-Ahead Verification

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2010.2058531 ◽

2011 ◽

Vol 60 (2) ◽

pp. 442-451 ◽

Cited By ~ 17

Author(s):

Chih-Chung Chou ◽

Feng-Li Lian ◽

Chieh-Chih Wang

Keyword(s):

Indoor Environment ◽

Robot Navigation ◽

Velocity Space ◽

Region Analysis ◽

Look Ahead ◽

Space Approach

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Velocity space approach with region analysis and look-ahead verification for robot navigation

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

10.1109/cdc.2009.5400887 ◽

2009 ◽

Cited By ~ 1

Author(s):

Chih-Chung Chou ◽

Feng-Li Lian

Keyword(s):

Robot Navigation ◽

Velocity Space ◽

Region Analysis ◽

Look Ahead ◽

Space Approach

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Computer Assisted Image Reconstruction of Oligomer Structure

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100092323 ◽

1976 ◽

Vol 34 ◽

pp. 472-473

Author(s):

A.M. Jones ◽

A. Max Fiskin

Keyword(s):

Three Dimensional ◽

Depth Of Field ◽

Computer Assisted ◽

Projection Data ◽

Two Dimensional ◽

Single Particles ◽

Dimensional Reconstruction ◽

Computer Assisted Image ◽

The Fourier Transform ◽

Space Approach

If the tilt of a specimen can be varied either by the strategy of observing identical particles orientated randomly or by use of a eucentric goniometer stage, three dimensional reconstruction procedures are available (l). If the specimens, such as small protein aggregates, lack periodicity, direct space methods compete favorably in ease of implementation with reconstruction by the Fourier (transform) space approach (2). Regardless of method, reconstruction is possible because useful specimen thicknesses are always much less than the depth of field in an electron microscope. Thus electron images record the amount of stain in columns of the object normal to the recording plates. For single particles, practical considerations dictate that the specimen be tilted precisely about a single axis. In so doing a reconstructed image is achieved serially from two-dimensional sections which in turn are generated by a series of back-to-front lines of projection data.

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