Artificial Intelligence, Machine Learning and Robotics

Engineering holding a model of a machine hand in a lab

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

mechanical engineering students working on a cockroach robot

Medical Robotics and Computer Integrated Surgery Group

Develops medical applications of robotics and other information technologies, specifically robotic systems for surgery and interventional medicine, human-machine interfaces, haptics, virtual reality surgical simulators and modeling and simulation of complex biological systems.

Faculty who conduct research in Artificial Intelligence, Machine Learning and Robotics

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M. Cenk Cavusoglu

Nord Professor of Engineering
Professor, Department of Electrical, Computer and Systems Engineering
Director, Medical Robotics and Computer Integrated Surgery Laboratory

Develops next-generation medical robotic systems for surgery and image-guided interventions

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Michael Fu

Timothy E. and Allison L. Schroeder Assistant Professorship in Computer and Data Sciences
Assistant Professor, Department of Electrical, Computer and Systems Engineering

Develops video games and virtual environments to improve human health after neurological injury

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Ming-Chun Huang

Associate Professor, Department of Electrical, Computer and Systems Engineering
Faculty Director, Mobile Health Laboratory (mHealth@CWRU)
Faculty Director, Sensing and Interaction Laboratory (SAIL@CWRU)

Mobile Health (mHealth) Technologies, Wearable and Edge Computing, Internet of Medical Things

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Greg Lee

Assistant Professor, Department of Electrical, Computer and Systems Engineering

Develops robotic systems systems

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Pan Li

Associate Professor, Department of Electrical, Computer and Systems Engineering

Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks

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Kenneth Loparo

Arthur L. Parker Professor
Professor, Department of Electrical, Computer and Systems Engineering
Co-Director, Internet of Things Collaborative (IOTC)

Develop real-time data analytics and control algorithms for industrial, energy and physiological systems

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Behnam Malakooti

Fellow of IEEE, Society of Manufacturing Engineers, & Ins. of Industrial & Systems Engineers
Professor, Department of Electrical, Computer and Systems Engineering

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.

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Wyatt Newman

Professor, Department of Electrical, Computer and Systems Engineering

Designs intelligent robots, machines and software for diverse applications