Real-Time Autonomous Robot Navigation Using VLSI Neural Networks
نویسندگان
چکیده
We describe a real time robot navigation system based on three VLSI neural network modules. These are a resistive grid for path planning, a nearest-neighbour classifier for localization using range data from a timeof-flight infra-red sensor and a sensory-motor associative network for dynamic obstacle avoidance .
منابع مشابه
Navigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural Network
Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...
متن کاملSensor fusion for autonomous outdoor navigation using neural networks
For many navigation tasks, a single sensing modality is sufficiently rich to accomplish the desired motion control goals; for practical autonomous outdoor navigation, a single sensing modality is a crippling limitation on what tasks can he undertaken. In the research detailed in this paper, we open the door for a whole new suite of real-time autonomous navigation tasks previously unattainable. ...
متن کاملA Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm
In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...
متن کاملNeural Network Vision for Robot Driving
Many real world problems require a degree of exibility that is dii-cult to achieve using hand programmed algorithms. One such domain is vision-based autonomous driving. In this task, the dual challenges of a constantly changing environment coupled with a real time processing constrain make the exibility and eeciency of a machine learning system essential. This chapter describes just such a lear...
متن کاملAn Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network
RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1990