Alignment

None

Through artificial intelligence, machine learning and robotics, our researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart transportation and smart healthcare. 

We are developing robotic motion planning, perception, control and learning algorithms to create next-generation intelligent robotic surgical assistants. The robotic assistant will have the ability to perform low-level surgical manipulation tasks, such as suturing and retraction, and will allow the surgeon to interact with it through high-level instructions.

In addition, our researchers are developing intelligent robotic mobile manipulation systems. With advanced robotic perception, planning and manipulation capabilities, these systems are targeted to work in close collaboration with human users in home and small-batch manufacturing applications.

Our researchers are also working to develop a robotic active catheter system that can perform atrial fibrillation ablation under real-time intraoperative magnetic resonance imaging (MRI) guidance. The project integrates high-speed MRI technologies with robotic motion planning and control techniques to develop a novel co-robotic system.

The research focuses on the development of new models and algorithms for robotic motion planning and for the control of active catheter systems and algorithms to achieve real-time intraoperative MRI acquisition and image reconstruction, as well as hardware realization and experimental validation of the pioneered technologies.

Labs and Facilities

• ECSE Undergraduate Computer Lab
• Intelligent Networks & Systems Architecting (INSA) Research Laboratory
• Interfaces and Interventions Laboratory
• Jennings Computer Center Lab
• Mobile Robotics Laboratory
• Nord Computer Laboratory
• VLSI Design Laboratory
• Sally & Larry Sears Undergraduate Design Laboratory