Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Nonrigid Motion and Structure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Hierarchical Discriminant Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Statistical Learning for Humanoid Robots
Autonomous Robots
Obstacle Avoidance Using the Human Operator Experience for a Mobile Robot
Journal of Intelligent and Robotic Systems
Social Constraints on Animate Vision
IEEE Intelligent Systems
Fuzzy Motion Planning of Mobile Robots in Unknown Environments
Journal of Intelligent and Robotic Systems
Dav: A Humanoid Robot Platform for Autonomous Mental Development
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
An improved radial basis function network for visual autonomous road following
IEEE Transactions on Neural Networks
State-based SHOSLIF for indoor visual navigation
IEEE Transactions on Neural Networks
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The problem of developing local reactive obstacle-avoidance behaviors by a mobile robot through online real-time learning is considered. The robot operated in an unknown bounded 2-D environment populated by static or moving obstacles (with slow speeds) of arbitrary shape. The sensory perception was based on a laser range finder. A learning-based approach to the problem is presented. To greatly reduce the number of training samples needed, an attentional mechanism was used. An efficient, real-time implementation of the approach was tested, demonstrating smooth obstacle-avoidance behaviors in a corridor with a crowd of moving students as well as static obstacles.