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» Learning to Drive and Simulate Autonomous Mobile Robots
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MVA
1990
133views Computer Vision» more  MVA 1990»
13 years 8 months ago
Using and Generating Environment Models for Indoor Mobile Robots
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Yuval Roth-Tabak, Terry E. Weymouth
ICRA
2005
IEEE
180views Robotics» more  ICRA 2005»
14 years 1 months ago
Transference of Evolved Unmanned Aerial Vehicle Controllers to a Wheeled Mobile Robot
— Transference of controllers evolved in simulation to real vehicles is an important issue in evolutionary robotics (ER). We have previously evolved autonomous navigation control...
Gregory J. Barlow, Leonardo Mattos, Edward Grant, ...
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
14 years 1 months ago
Adaptive Control of Heterogeneous Marine Sensor Platforms in an Autonomous Sensor Network
Abstract— This paper describes an investigation into the control of autonomous mobile sensor platforms in a marine sensor network used to provide monitoring of transitory phenome...
Donald P. Eickstedt, Michael R. Benjamin, Henrik S...
IROS
2006
IEEE
165views Robotics» more  IROS 2006»
14 years 1 months ago
Learning Relational Navigation Policies
— Navigation is one of the fundamental tasks for a mobile robot. The majority of path planning approaches has been designed to entirely solve the given problem from scratch given...
Alexandru Cocora, Kristian Kersting, Christian Pla...
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 5 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael