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CRV
2009
IEEE
206views Robotics» more  CRV 2009»
16 years 27 days ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...
Philippe Giguère, Gregory Dudek, Chris Prah...
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
16 years 24 days ago
Stereo vision and terrain modeling for quadruped robots
— Legged robots offer the potential to navigate highly challenging terrain, and there has recently been much progress in this area. However, a great deal of this recent work has ...
J. Zico Kolter, Youngjun Kim, Andrew Y. Ng
MM
2009
ACM
185views Multimedia» more  MM 2009»
16 years 20 days ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
IJCNN
2008
IEEE
16 years 17 days ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
16 years 17 days ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...