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» Learning Obstacle Avoidance with an Operant Behavior Model
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CEC
2007
IEEE
14 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
14 years 1 months ago
Adaptive Virtual Fixtures for Machine-Assisted Teleoperation Tasks
— It has been demonstrated in a number of robotic areas how the use of virtual fixtures improves task performance both in terms of execution time and overall precision, [1]. How...
Daniel Aarno, Staffan Ekvall, Danica Kragic
CPHYSICS
2007
71views more  CPHYSICS 2007»
13 years 7 months ago
Simulation of n-qubit quantum systems. III. Quantum operations
During the last decade, several quantum information protocols, such as quantum key distribution, teleportation or quantum computation, have attracted a lot of interest. Despite th...
T. Radtke, S. Fritzsche
ACRI
2004
Springer
14 years 25 days ago
Optimizing the Behavior of a Moving Creature in Software and in Hardware
We have investigated a problem where the goal is to find automatically the best rule for a cell in the cellular automata model. The cells are either of type OBSTACLE, EMPTY or CRE...
Mathias Halbach, Wolfgang Heenes, Rolf Hoffmann, J...
AIRS
2010
Springer
13 years 4 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty