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ATAL
2010
Springer
15 years 1 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ICRA
2009
IEEE
142views Robotics» more  ICRA 2009»
15 years 7 months ago
Pose estimation and adaptive robot behaviour for human-robot interaction
— This paper introduces a new method to determine a person’s pose based on laser range measurements. Such estimates are typically a prerequisite for any human-aware robot navig...
Mikael Svenstrup, Søren Tranberg Hansen, Ha...
97
Voted
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
15 years 7 months ago
High precision PSD guided robot localization: Design, mapping, and position control
— This paper introduces our recently developed high precision robot localization system employing position sensitive detectors (PSD). A lateral effect PSD is an ideal position se...
S. Blank, Yantao Shen, Ning Xi, Chi Zhang, Uchechu...
98
Voted
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
15 years 7 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
89
Voted
CVPR
1999
IEEE
16 years 2 months ago
Combining Central and Peripheral Vision for Reactive Robot Navigation
In this paper, we present a new method for vision-based, reactive robot navigation that enables a robot to move in the middle of the free space by exploiting both central and peri...
Antonis A. Argyros, Fredrik Bergholm