Virtual Telepresence Robot Using Raspberry Pi

Authors

  • Reshma Student, Department of Electronics and Communication Engineering, Srinivas Institute of Technology, Valachil, India
  • Shilpa Student, Department of Electronics and Communication Engineering, Srinivas Institute of Technology, Valachil, India
  • Shubhashree Student, Department of Electronics and Communication Engineering, Srinivas Institute of Technology, Valachil, India
  • Akshaya Dhanraj Student, Department of Electronics and Communication Engineering, Srinivas Institute of Technology, Valachil, India
  • Deeksha Assistant Professor, Department of Electronics and Communication Engineering, Srinivas Institute of Technology, Valachil, India

Keywords:

Raspberry Pi, Smartphone controlled, Telepresence, Video streaming, Video reality

Abstract

In today's world telepresence means it is less than a necessity as a person cannot be everywhere and it can be used for variety of other reasons including saving the lives of people. Robot can be controlled from a distant location that means it can be controlled from far location. This paper deals with a very new virtual telepresence robot with added feature that is head movement control that can be used in defence as well as for educational purposes, life threatening jobs like mining. Compared to humans. robots can easily survive the atmosphere which is developed in the field of mining and in defence. In this paper, we are discussing about controlling of robot from distant location. Here the robot is continuously controlled by head movement which in other terms is known as accelerometer and is captured by a camera which gives the user real time experience as if he/she present where virtual telepresence robot is located that is live stream video. The results of the experiments is we can control the robot via head movement. it is helpful in the field of defense and mining. By the use of video streaming Telepresence technology enables users to be virtually present in another location at the same time. it is a kind of user interaction is further enhanced through mobility by driving remotely to form what is called a Telepresence robot. We can connect individuals with restricted mobility and increase social interaction, collaboration and active participation by using innovative machines. However, the individual who is having little knowledge and map of the remote environment about operating and navigating of these robot is challenging. Through the narrow camera view and manual remote operation avoiding obstacles is a cumbersome task. Through the real-time video feed and, thereby, decreasing their capability to handle different tasks, the users lack the sense of immersion while they are busy. This project demonstrates a simultaneous mapping and also autonomous driving virtual reality robot. By using the 2D Lidar sensor, we will generate two dimensional occupancy grid maps via SLAM and provide assisted navigation to reduce the involving the task of avoiding obstacles. Through head movement we can control thr robot and we will use virtual reality headset for 3D image. Remote users will be able to gain a visceral understanding of the environment while operating the robot. A telepresence robot is nothing but it is a remote-controlled, fixed with wheeled device with a display which is used to enable the video streaming that enables the participants to view remote locations, as if they were there in the environment where the robot is placed. This project consists of a virtual reality headset, with a smartphone in dual screen used to experience the virtual reality fixed with 4 wheeled robotic vehicle. The movement of the Robot is controlled using a remote controller. The motion of the camera of the robot is controlled by the accelerometer and magnetometer data processed by Arduino and Raspberry Pi.

Downloads

Download data is not yet available.

Downloads

Published

29-07-2020

Issue

Section

Articles

How to Cite

[1]
Reshma, Shilpa, Shubhashree, A. Dhanraj, and Deeksha, “Virtual Telepresence Robot Using Raspberry Pi”, IJRESM, vol. 3, no. 7, pp. 365–368, Jul. 2020, Accessed: May 09, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/99