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» A neural model for sonar-based navigation in obstacle fields
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ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
14 years 28 days 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
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 4 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
IJACTAICIT
2010
237views more  IJACTAICIT 2010»
13 years 4 months ago
Path Planning of Mobile Robot Based on Modification of Vector Field Histogram using Neuro-Fuzzy Algorithm
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neu...
Ali H. Hamad, Fatima B. Ibrahim
RAS
2006
91views more  RAS 2006»
13 years 6 months ago
Visual navigation and obstacle avoidance using a steering potential function
Humans have a remarkable ability to navigate using only vision, but mobile robots have not been nearly as successful. We propose a new approach to vision-guided local navigation, ...
Wesley H. Huang, Brett R. Fajen, Jonathan R. Fink,...
IJCNN
2006
IEEE
14 years 28 days ago
Biologically Inspired KFLANN Place Fields for Robot Localization
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
Alex Leng Phuan Tay