Implementation of a Person Following Robot in ROS-gazebo platform
Rajesh Kannan Megalingam, R Anandu, Dasari HemaTejaAnirudhBabu, Ghali Sriram, Venkata Sai YashwanthAvvari
- 发表年份
- 2022
- 引用次数
- 15
摘要
This research work involves the implementation of a person follower robot in ROS_Gazebo platform As part of this research work, we designed a mobile robot (for simulation)that can follow human beings. It assists people carrying heavyweights to their desired locations by following them. The entire simulation work is carried out with the help of ROS2 (Robot Operating System Version2). We used Gazebo and RVIZ as simulation tools to verify the outputs. MakeHuman and Blender software's assisted in creating an animated person and verify the rendering in the gazebo. The mobile robot created makes use of a Depth camera (Kinect) to detect a person and Lidars to calculate the distance between the robot and person. YOLOv3 algorithm has been used for image recognition. With this mobile robot, we simulated with multiple persons in gazebo software to make sure the robot is following only one particular person. The Kinect sensor uses object detection algorithms to identify and follow a particular person.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002