Designing and implementation of robot mapping algorithm for mobile robot

.A mobile robot is an automatic machine that is capable of movement in any given environment [1]. The Capabilities of Mobile Robot(s) are: Moving around based on the user’s input, Avoiding obstacle in front of it and Calculating the path. The Criteria of Mobile Robot: Desktop size. A robot that can evolve on the desk near the computer improves drastically the student efficiency during experimentation. Wide range of possibilities from an engineering and educational point of view. To exploit this tool in various fields of education such as signal processing, automatic control, embedded programming, or distributed intelligent systems design, the robot should provide a wide set of functionalities in its basic version. User friendly. The user interface has to be simple, efficient, and intuitive. This is an important point for the acceptance of the system by the students. The broad introduction in engineering classes requires a large number of robots. Knowing that the budget of many schools is constant or decreasing, this is only feasible by reducing the cost of an individual robot. Open information. This robot has to be shared among professors, laboratories, schools and universities. An open source hardware/software development model is an effective way to achieve this goal

Implementation of Cognitive Mapping Algorithm for Robot Navigation System

Abstract—Mobile robot is a construction of robot that is equipped with wheel to move around its environment in finishing its specific task. Robot will be given some algorithm for certain task. In this project, we are going to build the cognitive mapping algorithm that can be implemented to the mobile robot. This mobile robot will be given some inputs which are horizontal and vertical value and start and goal point and a task which is to move from start point to goal point. Some obstacles are also located in the arena and the mobile robot must be able to avoid any given obstacles to reach the goal point. After doing all implementation, finally, some comparison between robot mapping and robot edge follower will be done to observe the differences between these algorithms in term of time and path needed

Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space

This research explores path integration in mobile robot navigation and path optimization technique using vector calculus. A simulated robot in a simulated environment is used to test the algorithm that is to be developed. The simulated robot is equipped with a sonar sensor and several infrared sensors on its chassis. Mobile robot navigation in an unknown environment is very crucial as It not only has to be concerned about reaching its destination but also to avoid obstacles that may be in the way. This algorithm can effectively allow a mobile robot to navigate an unknown environment without collision into obstacles

The swarm-based exploration algorithm with expanded circle pattern for searching activities

Searching Mechanism is an important technique that is usually used by Search and Rescue team to find people especially victims for natural disasters. In this paper, we propose an exploration algorithm using quadcopter in simulation to discover an unknown area that is based on the expanding circle pattern for searching activities. Expanding circle searching pattern is a circular search procedure that is conducted by a series of distances around a fixed reference point, which can be used for unknown area exploration. The simulation is implemented in a swarm-based environment as it can increase the performance of robots for exploration compared to the non-swarm based environment. Based on the initial simulation result, the swarm-based exploration algorithm with the expanding circle pattern can maximize the searching area covered if compared with only having individual searching robot