This paper describes the saliency-based scene memory model of a mobile robot in which objects in salient spots are quickly learned and recognized based on the competitively growing neural network using temporal coding. This neural network represents objects using latency-based temporal coding and grows size and recognizability through self-organized learning with growth. In this model, objects ...

A novel multi-cellular electronic circuit capable of evolution and development is described here. The circuit is composed of identical cells whose shape and location in the system is arbitrary. Cells all contain the complete genetic description of the final system, as in living organisms. Through a mechanism of development, cells connect to each other using a fully distributed hardware routing ...

Tim Chapman Department of Psychology, University of Stirling, Scotland, FK9 4DN, UK [email protected] Adam T. Hayes MS136-93, California Institute of Technology, Pasadena, CA 91125, USA [email protected] Mark W. Tilden MSA454, Los Alamos National Laboratory, Los Alamos, NM 87545, USA [email protected] Abstract We describe the design and testing of a novel biologically-inspired wi...

In this paper we demonstrate an eecient method which divides a control task into smaller sub{tasks. We use a Genetic Programming system that rst learns the sub-tasks and then evolves a higher{level action selection strategy for deciding which of the evolved lower{level algorithms should be in control. The Swiss miniature robot Khepera is employed as the experimental platform. Results are presen...

We present a novel evolutionary approach to robotic control of a real robot based on genetic programming (GP). Our approach uses genetic programming techniques that manipulate machine code to evolve control programs for robots. This variant of GP has several advantages over a conventional GP system, such as higher speed, lower memory requirements and better real time properties. Previous attemp...

In applications such as vacuum cleaning, painting, demining and foraging, a mobile robot must cover an unknown surface. The efficiency and completeness of coverage is improved via the construction of a map of covered regions while the robot covers the surface. Existing methods generally use grid maps, which are susceptible to odometry error and may require considerable memory and computation. T...

In this paper, we study the online path planning for khepera II mobile robot in an unknown environment. The well known heuristic A* algorithm is implemented to make the mobile robot navigate through static obstacles and find the shortest path from an initial position to a target position by avoiding the obstacles. The proposed path finding strategy is designed in a grid-map form of an unknown e...

nanostructured ruo2 powders were synthesized via a hydrothermal method at 180 °c for 12 h using 1 and 2 m naoh aqueous solutions. the structure of the obtained nanomaterials was investigated by powder x-ray diffraction (pxrd) technique. the morphology the obtained materials were studied by field emission scanning electron microscope (fesem). the technique showed that with changing the reaction ...