ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
From inside the book
Results 1-3 of 56
Page 99
The gray - value at point ( x , y ) represents the possible maximal distance d of
motion in direction of the corresponding vector ñ = ( a , b , d ) without collision .
These two images represent all possible mating directions and corresponding ...
The gray - value at point ( x , y ) represents the possible maximal distance d of
motion in direction of the corresponding vector ñ = ( a , b , d ) without collision .
These two images represent all possible mating directions and corresponding ...
Page 207
stops moving in the motion direction for any vertex contact , this enables one to
distinguish DLO vertex - from edge - contacts . 5 Stable State Transitions both
sequences , the DLO is moved in the v - direction until it hits an obstacle ( box ) .
stops moving in the motion direction for any vertex contact , this enables one to
distinguish DLO vertex - from edge - contacts . 5 Stable State Transitions both
sequences , the DLO is moved in the v - direction until it hits an obstacle ( box ) .
Page 259
This paper proposes & new approach to automatic motion planning for a re mote
slave manipulator , aiming at on - line transition to autonomous teleoperetion
from master - slave mar nipulation . There have been many research works on ...
This paper proposes & new approach to automatic motion planning for a re mote
slave manipulator , aiming at on - line transition to autonomous teleoperetion
from master - slave mar nipulation . There have been many research works on ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Scheduling | 16 |
Copyright | |
7 other sections not shown
Other editions - View all
Common terms and phrases
actuator algorithm allows applied approach assembly planning assembly sequences assembly system assigned Automation blocks cell complete components computation configuration connected considered constraints corresponding cost cycle defined depends described determined developed device direction disassembly effect environment equation equipment evaluation example execution Figure final flexible force France function geometric given graph grasping gripper handling holons industrial initial integrated Introduction machining manipulation manufacturing material measured mechanical method micro motion move object obtained operation optimal orientation parameters path performance piezoelectric position possible precedence presented problem Proceedings programming proposed provides References relation representation represents respectively robot scheduling selected sensor shape shown shows simulation solution space step structure surface task Task Planning tion tolerance torque transition virtual volume workstation