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WADS
1997
Springer
91views Algorithms» more  WADS 1997»
14 years 1 months ago
Dynamic Motion Planning in Low Obstacle Density Environments
A fundamental task for an autonomous robot is to plan its own motions. Exact approaches to the solution of this motion planning problem suffer from high worst-case running times. ...
Robert-Paul Berretty, Mark H. Overmars, A. Frank v...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 7 months ago
Global reachability and path planning for planetary exploration with montgolfiere balloons
Aerial vehicles are appealing systems for possible future exploration of planets and moons such as Venus and Titan, because they combine extensive coverage with highresolution data...
Lars Blackmore, Yoshiaki Kuwata, Michael T. Wolf, ...
CHI
2006
ACM
14 years 9 months ago
Embedded phenomena: supporting science learning with classroom-sized distributed simulations
`Embedded phenomena' is a learning technology framework in which simulated scientific phenomena are mapped onto the physical space of classrooms. Students monitor and control...
Tom Moher
DATE
2008
IEEE
114views Hardware» more  DATE 2008»
14 years 3 months ago
Operating System Controlled Processor-Memory Bus Encryption
—Unencrypted data appearing on the processor– memory bus can result in security violations, e.g., allowing attackers to gather keys to financial accounts and personal data. Al...
Xi Chen, Robert P. Dick, Alok N. Choudhary
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 3 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels