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» Covisibility-Based Map Learning Method for Mobile Robots
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AMS
2007
Springer
250views Robotics» more  AMS 2007»
13 years 11 months ago
SVMs for Vibration-Based Terrain Classification
When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn...
Christian Weiss, Matthias Stark, Andreas Zell
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
14 years 1 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
ROBOCUP
1998
Springer
156views Robotics» more  ROBOCUP 1998»
13 years 12 months ago
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
Eiji Uchibe, Masateru Nakamura, Minoru Asada
APPINF
2003
13 years 9 months ago
Evolving High-Dimensional, Adaptive Camera-based Speed Sensors
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, ...
Ralf Salomon
NPL
2007
109views more  NPL 2007»
13 years 7 months ago
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...