Figure 1: The telemedicine platform we have developed.	Figure 2: On screen interface to control the telemedicine platform

The project is to design an open-source based robotic telemedicine system (Figure 1) for the Moffitt Cancer Center. Currently available commercial solutions are either proprietary, or lack features, such as quality communication equipment. We have designed and implemented a system that is capable to navigate in a clinical environment with minimum human intervention. The robot uses a Kinect sensor to map the environment and plan a path and trajectory to navigate to a defined goal position automatically (Figure 3). A doctor can either drive the robot remotely through Internet (Figure 2,4) or simply provide the robot a desired position to reach. The telemedicine platform can also provide high quality video communication to allow a doctor to see patients through a high-resolution camera on board so that the doctors can make early diagnoses.

Figure 3: The telemedicine platfrom can automatically obtain environment map with the Kinect sensor and nagivate to a define goal position with any human intervaention. The figure shows a map the telemedicine robot generated and the path it planned.	Figure 4: The robot can also be remotely controlled through a web browser.

Our Telemedicine robot (version 1)

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Software: (Open Source)

Telemedicine Robotic System Software on the Mobile Platform

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Participants:

Faculty	Graduate Students
Yu Sun, (PI)	Ivan Shindev
Thomas McCaffrey	Luke Coder

Collaborators

Thomas McCaffrey (Moffitt Cancer Center)

This project is supported by USF startup grant and Moffitt.

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