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» Learning to Drive and Simulate Autonomous Mobile Robots
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ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
15 years 2 months ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard
ICML
1998
IEEE
16 years 4 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
ISCAS
2007
IEEE
114views Hardware» more  ISCAS 2007»
15 years 10 months ago
The RunBot Architecture for Adaptive, Fast, Dynamic Walking
— In this paper we will present the architecture of the planar biped robot “RunBot”. It has been developed on the basis of three hierarchical levels: Biomechanical, Local and...
Poramate Manoonpong, Tao Geng, Bernd Porr, Florent...
118
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EDUTAINMENT
2006
Springer
15 years 7 months ago
Computer-Assisted Teaching in Class Situation: A High-School Math Lab on Vectors
This paper presents our design and experiment of a computer-assisted class laboratory on vectors in high-school. Our main goal is to improve the acquisition on notions by all pupi...
Maud Marchal, Peggy Provent, Frederic Ruyer, Pirou...
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
15 years 10 months ago
Adaptive Sampling for Multi-Robot Wide-Area Exploration
— The exploration problem is a central issue in mobile robotics. A complete coverage is not practical if the environment is large with a few small hotspots, and the sampling cost...
Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan...