Authors :
Ayush Salunke; Sanika Churi; Mandar Bivalkar; Mohd Tabish Khan
Volume/Issue :
Volume 8 - 2023, Issue 4 - April
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3p20yuy
DOI :
https://doi.org/10.5281/zenodo.7889047
Abstract :
- The objective of our project is to develop a
mobile robot capable of traversing an arena from a
starting point A to a destination point B by taking the
shortest path possible and avoiding any obstacles that
may be encountered. The robot will be designed to
accept user inputs from various sources, such as mobile
devices or computers. Based on the given inputs, the
robot will create a path to follow and navigate
accordingly. Our aim is to equip the robot with the
capability to autonomously map its surroundings,
generate the optimal path, and navigate through the
arena while avoiding any barriers or obstacles. The goal
is to create a robot that is intelligent and efficient in its
ability to navigate through various environments.
Keywords :
ROS, Gazebo, OpenCV, Microcontroller Programming, Solid-Works 3D Modelling, Deep Learning, and Digital Image Processing
- The objective of our project is to develop a
mobile robot capable of traversing an arena from a
starting point A to a destination point B by taking the
shortest path possible and avoiding any obstacles that
may be encountered. The robot will be designed to
accept user inputs from various sources, such as mobile
devices or computers. Based on the given inputs, the
robot will create a path to follow and navigate
accordingly. Our aim is to equip the robot with the
capability to autonomously map its surroundings,
generate the optimal path, and navigate through the
arena while avoiding any barriers or obstacles. The goal
is to create a robot that is intelligent and efficient in its
ability to navigate through various environments.
Keywords :
ROS, Gazebo, OpenCV, Microcontroller Programming, Solid-Works 3D Modelling, Deep Learning, and Digital Image Processing
