mobile robot navigation is one of the basic problems in robotics. in this paper, a new approachis proposed for autonomous mobile robot navigation in an unknown environment. the proposedapproach is based on learning virtual parallel paths that propel the mobile robot toward the trackusing a multi-layer, feed-forward neural network. for training, a human operator navigates themobile robot in some...

Inertial measurement units used in commercial body sensor networks (e.g. animation suits) are inefficient, difficult to use and expensive when adapted for movement science applications concerning medical and sports science. However, due to advances in micro-electro mechanical sensors, these inertial sensors have become ubiquitous in mobile computing technologies such as smartphones. Smartphones...

Shape from Motion data fusion brings a greater degree of autonomy and sensor integration to intelligent systems in which fusion by constant linear transformations is appropriate. To illustrate this, we apply Shape from Motion techniques to applications involving both similar and disparate sensory information vectors. First, nearly autonomous force/torque sensor calibration is demonstrated throu...

a sensor network is made up of a large number of sensors with limited energy. sensors collect environmental data then send them to the sink. energy efficiency and thereby increasing the lifetime of sensor networks is important. direct transfer of the data from each node to the central station will increase energy consumption. previous research has shown that the organization of nodes in cluster...

Most applications of underwater wireless sensor networks (UWSNs) demand reliable data delivery over a longer period in an efficient and timely manner. However, the harsh and unpredictable underwater environment makes routing more challenging as compared to terrestrial WSNs. Most of the existing schemes deploy mobile sensors or a mobile sink (MS) to maximize data gathering. However, the relative...

We study the task of gathering k energy-constrained mobile agents in an undirected edge-weighted graph. Each agent is initially placed on arbitrary node and has a limited amount energy, which constrains distance it can move. Since this may render at single point impossible, we three variants near-gathering: The goal to move into configuration that minimizes either (i) radius ball containing all...

Sensor nodes, charged with battery power and capable of wireless communications, are distributed around to survey the environments and to send the needed data to the base station. The limited energy resources of sensor nodes are consumed in computation and especially in communication. To reduce power consumption for the sensor network, this paper presents a new data gathering scheme based on th...

In Wireless Sensor Networks (WSNs), sensor nodes are organized in a random manner. These sensor nodes are mainly deployed in physical environment to gather data and deliver the data to the destination wherever requires. Sensor nodes have limited computational capability, limited bandwidth, energy source and memory. The main challenge in data gathering is to maximize the network lifetime and the...

The goal of information gathering is to obtain data from the environment generating an accurate model for the application of interest. In many applications the information gathering process requires to obtain measurement of the phenomena of interest in harsh or dangerous conditions (e.g., environmental monitoring applications of water in a lake or search and rescue operations in disaster respon...