Obstacle avoiding ROS Robot

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Obstacle avoiding ROS Robot
Quick Overview

Obstacle avoiding ROS Robot uses ROS and LIDAR with Raspberry Pi to map the unknown environment with or without the obstacle and to choose alternative path to reach the destination using path planning algorithm like PRM in Matlab.


SLAM - Simultaneous Localisation and Mapping | Path Planning | Path Following

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Package Includes:

  • Complete Hardware Kit

  • Demo Video-Embedded Below

  • Abstract

  • Reference Paper

  • PPT (20 Slides)

  • !!! Online Support !!!

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Obstacle avoiding methods are used from least to the ultimate models. It is used to avoid the collision on obstacles. But before in old methods, there is no autonomous option to choose the alternative path when the obstacle is present in the way. But this can be possible now by using LIDAR with ROS, by using LIDAR scans mapping is done. So that the Bot knows the complete map of the environment and by using PRM for Path planning algorithm in Matlab alternative path can be chosen.


About Matlab ROS

In the Latest version of Matlab, it has ROS (Robotic Operating System) software supporting package. By using that its system can able to communicate with the ROS robot using ROS Network configurations.


Existing system

In the existing obstacle avoidance robot, simply the sensors like IR and Ultrasonic sensors are used to sense the obstacle. It doesn’t have a feature to choose the alternative path and to follow it.


Proposed system

In this proposed system, by using 360-degree lidar is used to map the environment with an obstacle. And by using path planning algorithm robot chooses its own path to reach some destination point by avoiding the obstacle.


Block Diagram

Block diagram of Obstacle avoiding ROS Robot

Project Description

  • Raspberry Pi is used with ROS software libraries
  • RPLidar A1 360 degree lidar interfaced with the Raspberry Pi publishes the Laser scan data, which is received by subscribing the same ROS Topic in Matlab ROS Package.
  • Initially, mapping is done throughout the environment using Laser scan from Lidar.
  • If there is obstacle it gets also differentiated in the Laser scan map since before and after the scan is plotted of obstacle presence.
  • Binary occupancy grid can be generated and prompts to choose the destination in the Map
  • By using PRM (Probabilibitic Road Map) algorithm, with the number of nodes and length of connecting node distance path can be generated from the starting point to the destination point with the avoidance of colliding walls.
  • Now the path following is performed to reach the destination.


Hardware Required

  • Raspberry Pi 3
  • SD Card 16 GB class 10
  • RPLidar A1
  • Robot Setup
  • Power Bank  (10000 mAh, 2 A minimum)
  • Arduino UNO
  • HC-05 Bluetooth Module
  • L293D Driver module


Software Required

  • ROS kinetic OS image for Raspberry Pi
  • Matlab, which has a Robotic Operating System Software Package
  • Arduino IDE
  • SD Card Formatter
  • Etcher/win32Disk Imager/Rufus



Mapping without obstacle

Mapping without obstacle in Obstacle avoiding ROS Robot

Mapping with obstacle

Mapping with obstacle in Obstacle avoiding ROS Robot

Occupancy Map

Occupancy map of ROS robot

Destination Marking in Binary occupancy Grid

Binary Occupancy Grid of Obstacle avoiding ROS Robot

Path Planning using PRM (Probabilistic Road Map)

PRM of Obstacle avoiding ROS Robot

Path Planning

Path planning with following Obstacle avoiding ROS Robot

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