Relations among functional groups within a stoichiometry: A nuclear configuration space approach

1992 ◽  
Vol 43 (5) ◽  
pp. 647-658 ◽  
Author(s):  
Jacques-Emile Dubois ◽  
Paul G. Mezey
Keyword(s):  
Functional Groups ◽  
Configuration Space ◽  
Space Approach ◽  
Nuclear Configuration

Optimal Robotic Assembly Planning Using Dijkstra’s Algorithm

1994 ◽  
Author(s):  
Sam Anand ◽  
Mohamed Sabri
Keyword(s):  
Configuration Space ◽  
Material Handling ◽  
Search Algorithm ◽  
Robotic Manipulators ◽  
Robotic Assembly ◽  
Graph Search ◽  
Assembly Planning ◽  
Robotic Welding ◽  
Fast Collision ◽  
Space Approach

Abstract Robots play an important role in the modern factory and are used in a manufacturing cell for several functions such as assembly, material handling, robotic welding, etc. One of the principal problems faced by robots while performing their tasks is the presence of obstacles such as fixtures, tools, and objects in the robot workspace. Such objects could result in a collision with one of the arms of the robots. Fast collision-free motion planning algorithms are therefore necessary for robotic manipulators to operate in a wide variety of changing environments. The configuration space approach is one of the widely used methods for collision-free robotic path planning. This paper presents a novel graph-based method of searching the configuration space for a collision-free path in a robotic assembly operation. Dijkstra’s graph search algorithm is used for optimizing the joint displacements of the robot while performing the assembly task. The methodology is illustrated using a simple robotic assembly planning task.

scholarly journals Remarks on the Configuration Space Approach to Spin-Statistics

2009 ◽  
Vol 40 (7) ◽  
pp. 1004-1029 ◽  
Author(s):  
Andrés F. Reyes-Lega ◽  
Carlos Benavides
Keyword(s):  
Configuration Space ◽  
Space Approach

Dynamical Simulation of Planar Systems With Changing Contacts Using Configuration Spaces

1998 ◽  
Vol 120 (2) ◽  
pp. 181-187 ◽  
Author(s):  
E. Sacks ◽  
L. Joskowicz
Keyword(s):  
Configuration Space ◽  
Collision Detection ◽  
Contact Analysis ◽  
Configuration Spaces ◽  
Time Step ◽  
Analysis Algorithm ◽  
Time Performance ◽  
Dynamical Simulation ◽  
Planar Systems ◽  
Space Approach

This paper presents a contact analysis algorithm for pairs of rigid, curved, planar parts based on configuration space computation. The algorithm is part of a dynamical simulator for planar systems with changing contact topologies. The configuration space of a pair of parts is a data structure that encodes the contact configurations for all pairs of part features. The configuration spaces of the interacting pairs in the mechanical system are constructed before the simulation. At each time step, the simulator queries the configuration spaces for contact changes instead of performing collision detection. The simulator demonstrates the efficacy of the configuration space approach to contact analysis. It achieves real-time performance on systems with complex contact geometry, curved parts, and changing contacts.

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