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AAAI
2004
15 years 7 months ago
Analogical Path Planning
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
Saul Simhon, Gregory Dudek
IS
2010
15 years 4 months ago
Building concepts for AI agents using information theoretic Co-clustering
Abstract--High level conceptual thought seems to be at the basis of the impressive human cognitive ability, and AI researchers aim to replicate this ability in artificial agents. C...
Jason R. Chen
KES
1998
Springer
15 years 10 months ago
An acquisition of the relation between vision and action using self-organizing map and reinforcement learning
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
Kazunori Terada, Hideaki Takeda, Toyoaki Nishida
ACSC
2007
IEEE
16 years 19 days ago
Mutually Visible Agents in a Discrete Environment
As computer controlled entities are set to move and explore more complex environments they need to be able to perform navigation tasks, like finding minimal cost routes. Much wor...
Joel Fenwick, Vladimir Estivill-Castro
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
16 years 28 days ago
Path planning for data assimilation in mobile environmental monitoring systems
— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile ...
Franz S. Hover