— Dissociated culture system with multi-electrode array is fully useful for elucidation of network dynamics of neurons. The living neuronal network can obtain a kind of “learning and memory, i.e., intelligence” by interactions with outer world. In this paper, we introduce Biologically Inspired Model as a fuzzy computational system for living neuronal networks connected to moving robot, Khepera ...

Object tracking has become one of the important research areas in robotics. In this paper, we propose a vision based color object tracking by Khepera II mobile robot. The object tracking is realized by color segmentation through image threshold. The wireless camera mounted on the robot will capture the image in front of its viewing range and based on the color property of the target object, the...

This paper presents the intelligent wheeled mobile robot motion control in unstructured environments. The fuzzy control of a wheeled mobile robot motion in unstructured environments with obstacles and slopes is proposed. Outputs of the fuzzy controller are the angular speed difference between the left and right wheels of the mobile robot and the mobile robot velocity. The simulation results sho...

A model that is consistent with several neurophysiological properties of biological headdirection cells is presented. The dynamics of the system is primarily controlled by idiothetic signals which determine the direction selectivity property. By means of LTP correlation learning, allothetic cues are incorporated to stabilize the direction representation over time. The interaction between alloth...

In this paper we present a biologically inspired neural architecture for visual perception based on anticipation. The main goal of this work is to demonstrate, that anticipation is a central key to improve the perception performance of technical systems. The presented approach is able to increase the robustness of the perception process against noise or sensory dropouts. We demonstrate these pe...

The overall aim of this project was to consolidate and build on the achievements of its predecessor, EPSRC grant GR/L20023 “Cognitive Robotics”. The earlier grant had supplied a proof-of-concept for the idea of highlevel robot control based on logic, through the construction of a robot controller that uses sentences of logic as its units of representation and theorem proving steps as its units ...

Internal representations of the environment are often invoked to explain performance in tasks in which an organism must make a detour around an obstacle to reach a target and the organism can lose sight of the target along the path to the target. By simulating a detour task in evolving populations of robots (Khepera) we show that neural networks with memory units perform better than networks wi...

In this paper we present the current stage of development of EMMA, a small autonomous robot inspired by the Khepera robot widely distributed in the scientific community. EMMA features a modern microcontroller as the central processing unit (CPU) being very efficient in processing sensor and motor signals and a black–white camera as the main sensory system. The test application of EMMA is autono...

Abstract – This paper presents sensor-based intelligent mobile robot navigation in unknown environments. The paper deals with fuzzy control of autonomous mobile robot motion in an unknown environment with obstacles and gives a wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology. Simulation results show the effective...

In this article we present two algorithms, for reducing the effects of control-space quantisation errors on a Khepera mobile robot. Specifically, we consider that control-space quantisation is present, when there is only a finite set of available robot wheels velocities. Thus the velocities of the robot wheels can not be chosen from any point in a continuous set. The first algorithm can be used...