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» Learning to Drive and Simulate Autonomous Mobile Robots
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ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
13 years 6 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
14 years 8 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»
14 years 1 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...
EDUTAINMENT
2006
Springer
13 years 11 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»
14 years 1 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...