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FLAIRS
2004
15 years 6 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
CAGD
2000
53views more  CAGD 2000»
15 years 4 months ago
Multi-point tool positioning strategy for 5-axis mashining of sculptured surfaces
Multi-point machining (MPM) is a tool positioning technique used for finish machining of sculptured surfaces. In this technique the desired surface is generated at more than one p...
Andrew Warkentin, Fathy Ismail, Sanjeev Bedi
NCA
2007
IEEE
15 years 4 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
15 years 3 months ago
Comparing and modeling distributed control strategies for miniature self-assembling robots
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
William C. Evans, Grégory Mermoud, Alcherio...
ICRA
2010
IEEE
149views Robotics» more  ICRA 2010»
15 years 3 months ago
A simple learning strategy for high-speed quadrocopter multi-flips
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
Sergei Lupashin, Angela Schöllig, Michael She...