This paper presents the autonomous navigation of a robot using SLAM algorithm.The proposed work uses Robot Operating system as a framework.The robot is simulated in gazebo and Rviz used for data visualization.Gmapping package is used for mapping by utilizing laser and odometry data from various sensors.The Turtlebot provides open source software to perform navigation.

An optimal control techniques well known in control community is proposed i.e. PID controller to address the problem of path tracking in autonomous vehicles. In this project we propose PID controller for turtle bot Navigation in order to determine steering control at each instant of time. This project aims to demonstrate the the control performance when robot attempts to follow a path.

On 7 December 1994, four student-built autonomous robots demonstrated various strategic, tactical, and mechanical approaches to a delivery task. That event was preceded by approximately two years of history and two days of frenzied preparation. Our robotics efforts were based on materials from MIT's well-known 6.270 course. This report summarizes our experiences, from pedagogical goals and organizational matters through mechanical and electronic techniques. Our intended audience is future robot-builders, and organizers of robot-building courses. We assume familiarity with material in Jones and Flynn's Mobile Robotics text, and with the various materials available from MIT over the internet. Keywords: Mobile Robotics, LEGO, Interactive C, MIT 6.270, Sensors.

In the previous years, a robot turtle Robotnačka (Ďurina et. al., 2006) has been designed by an enthusiastic group of students, researchers and engineers of Robotika. SK. Several prototypes have been produced and some of them were installed in the Remotely-accessible robotics laboratory (Petrovič et. al., 2006). Pupils, students and other Internet users from around the world can connect to the robots that are on-line most of the time and control them to perform experiments. The purpose of the robots and the laboratory is to ...

Issues related to 3d turtle’s navigation and geometrical figures’ manipulation in the simulated 3d space of a newly developed computational environment, MaLT, are reported and discussed here. The joint use of meaningful formalism and the dynamic manipulation of graphically represented 3d figures seem to offer new resources and to pose new challenges as far as geometrical activities and construction of meanings are concerned, which are strongly related to the representational infrastructure of MaLT. Abilities such as spatial orientation and spatial visualisation come into play and are interwoven with the software’s functionalities and semantics. Although the body-syntonic metaphor remains critical while navigating the turtle in the 3d simulated space, it seems that it has to be co-ordinated with other – often conflicting one another – frames of reference. The strong link between spatial graphical and geometrical aspects, that was accentuated by the dragging functionalities of the software, helped students go beyond an immediate perceptual approach, relating geometrical figures with real 3d objects and the change of planes in 3d space with physical angle situations. In this framework the concept of angle as turn and measure with emphasis on directionality but also as a relationship between the planes defined by 2d figures has arisen as central.

Sea Turtle Conservancy (STC) is a global leader in the study, safety and protection of sea turtles. The mission of this is to guarantee the survival of sea turtles through advocacy, research, education and conservation of the habitats upon which they depend. Sea turtles are significant measures of the health of the world's marine and coastal ecosystems. In this paper, a smart cost effective and low power consuming control and monitoring system were proposed to provides complete real-time tracking alert to the personnel in charge of monitoring the safety of the turtle in the event of any threat along with the indication of their real-time location using a Neo-6M GPs sensor and RF module for tracking and proximity tracking respectively. The proposed system enables real-time tracking accuracy of 98.75% for an average of seven different locations, with a fast response time of 0.45seconds to detect new GPS location when the sensor is varied along a tested area.