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» Learning to Drive and Simulate Autonomous Mobile Robots
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IJCV
2007
155views more  IJCV 2007»
13 years 7 months ago
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation
Autonomous mobile robot navigation, either off-road or on ill-structured roads, presents unique challenges for machine perception. A successful terrain or roadway classifier must ...
Andrew Lookingbill, John Rogers, David Lieb, J. Cu...
ICRA
2007
IEEE
123views Robotics» more  ICRA 2007»
14 years 2 months ago
Model-Based Wheel Slip Detection for Outdoor Mobile Robots
— This paper introduces a model-based approach to estimating longitudinal wheel slip and detecting immobilized conditions of autonomous mobile robots operating on outdoor terrain...
Chris C. Ward, Karl Iagnemma
IJRR
2010
177views more  IJRR 2010»
13 years 6 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 2 months ago
Learning slip behavior using automatic mechanical supervision
— We address the problem of learning terrain traversability properties from visual input, using automatic mechanical supervision collected from sensors onboard an autonomous vehi...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
ATAL
2011
Springer
12 years 7 months ago
Exploration strategies based on multi-criteria decision making for search and rescue autonomous robots
Autonomous mobile robots are considered a valuable technology for search and rescue applications, where an initially unknown environment has to be explored to locate human victims...
Nicola Basilico, Francesco Amigoni