The Telepresence Robot is a self-driving, two or three wheeled videoconferencing robot that revolutionizes the way you work or learn remotely. With more and more employers allowing flexible or remote schedules, these hybrid offices and hybrid classrooms need tools designed for this environment. The Telepresence Robot is the ultimate tool for remote workers and students to feel more connected to their colleagues by giving them a physical presence where they can’t be in person.

In this project, we present a novel approach for object detection in a telepresence robot using a Remote Operating System (ROS). The proposed system utilizes advanced object detection algorithms and ROS to enable the telepresence robot to detect and track objects in its environment. The system is designed to provide real-time object detection and tracking information to the remote operator, allowing them to navigate the robot and interact with the environment more effectively. The system is also designed to be easily integrated with other ROS-based control and monitoring systems, providing a seamless and robust telepresence experience.

The proposed system utilizes advanced embedded sensors and communication protocols to enable the telepresence robot to perceive and interact with its environment in real-time. The embedded sensors include cameras, microphones, and other sensors that allow the robot to perceive the environment, while the communication protocols enable the robot to transmit and receive data from remote operators. The proposed system is designed to be robust and efficient, allowing for seamless communication and control of the telepresence robot.