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» Randomized model predictive control for robot navigation
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ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
15 years 5 months ago
A neural model for sonar-based navigation in obstacle fields
— The rapid control of sonar-guided vehicles through obstacle fields has been a goal of robotics for decades. How sensory data is represented strongly affects how obstacles and g...
Timothy K. Horiuchi
CMOT
2010
176views more  CMOT 2010»
14 years 9 months ago
A cognitive model of spatial path-planning
Planning a path to a destination, given a number of options and obstacles, is a common task. We suggest a two-component cognitive model that combines retrieval of knowledge about t...
David Reitter, Christian Lebiere
ICCBR
2009
Springer
15 years 6 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
ICRA
1993
IEEE
152views Robotics» more  ICRA 1993»
15 years 3 months ago
The USC Autonomous Flying Vehicle: An Experiment in Real Time Behavior-Based Control
A control system architecture is described for an autonomous flying vehicle. The vehicle, equipped with fourteen sensors, uses a model helicopter as an airframe. The control syste...
M. Anthony Lewis, Andrew H. Fagg, George A. Bekey
IDA
2003
Springer
15 years 4 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt