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
Institutes, centers and labs related to Artificial Intelligence, Machine Learning and Robotics
Faculty who conduct research in Artificial Intelligence, Machine Learning and Robotics
Develops next-generation medical robotic systems for surgery and image-guided interventions
I develop intelligent robotic teleoperator systems that integrate human- and robot-facing multimodal sensor information to deliver enhanced human-robot system performance through augmented multisensory operator feedback.
Develops virtual environments and neural interfaces to improve human health after neurological injury
Development and clinical assessment of neural interfaces and stimulation approaches to restore and enhance somatosensory function
Lab website: https://www.graczyklab.com/
Develops robotic systems
Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks
Develop real-time data analytics and control algorithms for industrial, energy and physiological systems
Designs & develops models for industrial, operations, production/manufacturing systems, asymmetric risk analysis & predictions, decision making/behaviour types, artificial neural networks, interactive models, and multiple objective optimization.
Designs intelligent robots, machines and software for diverse applications