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JFR
2006
140views more  JFR 2006»
13 years 5 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
13 years 11 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
IROS
2009
IEEE
177views Robotics» more  IROS 2009»
13 years 12 months ago
A learning approach to integration of layers of a hybrid control architecture
— Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
Matthew Powers, Tucker R. Balch
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
13 years 11 months ago
Learning humanoid reaching tasks in dynamic environments
— A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online moti...
Xiaoxi Jiang, Marcelo Kallmann
IROS
2007
IEEE
127views Robotics» more  IROS 2007»
13 years 11 months ago
Goal directed navigation with uncertainty in adversary locations
— This paper addresses the problem of planning for goal directed navigation in the environment that contains a number of possible adversary locations. It first shows that common...
Maxim Likhachev, Anthony Stentz