Welcome!
We are the Gemstone Honors Program research team Team SCOPE, which stands for Sensory Computing and Object Processing Entity.
Our research is on the integration of object recognition and natural language interaction for assistive robotics with medical applications.
Mentored by Dr. Anil Deane, Associate Research Professor at the Institute for Physical Science and Technology of UMD
Class of 2017 at the University of Maryland College Park
Our research is on the integration of object recognition and natural language interaction for assistive robotics with medical applications.
Mentored by Dr. Anil Deane, Associate Research Professor at the Institute for Physical Science and Technology of UMD
Class of 2017 at the University of Maryland College Park
How can current natural language interaction and object recognition technologies be used to improve the healthcare field?
Team SCOPE has created an assistive robot for healthcare delivery. The robot is mobile, responds to spoken commands, and possesses artificial intelligence (AI). It extracts meanings about the patient’s health from conversations and visual interactions. It summarizes these observations into reports that could be merged with the patient’s online electronic health records. This process aids healthcare professionals in performing routine tasks by using cloud-based AI services. Using Vex Robotics parts and an Arduino microcontroller, SCOPE created a mobile platform for the robot. The robotic platform implements basic motions and obstacle avoidance. These separate systems are integrated using a Java driver program, Node Red, and IBM Watson cloud services. The resulting AI can be expanded for different applications within healthcare delivery.
Team SCOPE has created an assistive robot for healthcare delivery. The robot is mobile, responds to spoken commands, and possesses artificial intelligence (AI). It extracts meanings about the patient’s health from conversations and visual interactions. It summarizes these observations into reports that could be merged with the patient’s online electronic health records. This process aids healthcare professionals in performing routine tasks by using cloud-based AI services. Using Vex Robotics parts and an Arduino microcontroller, SCOPE created a mobile platform for the robot. The robotic platform implements basic motions and obstacle avoidance. These separate systems are integrated using a Java driver program, Node Red, and IBM Watson cloud services. The resulting AI can be expanded for different applications within healthcare delivery.