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» Learning to navigate through crowded environments
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ICRA
2003
IEEE
160views Robotics» more  ICRA 2003»
14 years 22 days ago
Adapting navigation strategies using motions patterns of people
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
ICRA
2010
IEEE
98views Robotics» more  ICRA 2010»
13 years 6 months ago
A segmentation guided label propagation scheme for autonomous navigation
Abstract— Navigating through unknown outdoor environments requires a robot to be able to see and model the far field terrain. In recent years this problem of seeing beyond relia...
Soumya Ghosh, Jane Mulligan
IJCNN
2008
IEEE
14 years 1 months 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
ESSMAC
2003
Springer
14 years 20 days ago
Simultaneous Localization and Surveying with Multiple Agents
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
Sam T. Roweis, Ruslan Salakhutdinov
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 6 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy