Robotics and Mechatronics

preying mantis robot

Case Western Reserve takes an integrated approach to robotics to bring creativity, knowledge and expertise to create unparalleled robotic systems. With a specific focus on exploration, intelligence, movement, manufacturing and human assistance, our robotics experts are improving the human condition through robotic systems enabled with intelligent mechanics, sensing and behavior. We’re creating biologically inspired soft, legged and winged robots with superior movement and intelligence to reach locations and complete tasks humans can’t; computational models of nervous systems to better understand them so that debilitating diseases can be cured and synthetic nervous systems can be developed for robot control; cyber-physical systems using machine learning to help disabled people walk; autonomous systems for mobile robots; remote-controlled surgical devices so talented surgeons can perform complex operations remotely; robotic systems to improve manufacturing productivity; and much more.

At the intersection of mechanical engineering and electrical engineering, Case Western Reserve faculty weave together design, embedded controls, mechanical systems, digital controls and big data to approach our research through the integrated lens of mechatronics. This unified design philosophy helps us meet the nascent needs of smart manufacturing and Industry 4.0.

Institutes, centers and labs related to Robotics and Mechatronics

Rethink Robotics Baxter robot

Integrated Robotics Center

Using a cross-discipline approach to bring creativity, knowledge and expertise to the creation of robotic systems, with a specific focus on exploration, intelligence, movement, manufacturing and health care

Faculty who conduct research in Robotics and Mechatronics

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Richard Bachmann

Assistant Professor, Mechanical and Aerospace Engineering

Researches biologically inspired robotics

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Kathryn Daltorio

Assistant Professor, Mechanical and Aerospace Engineering
Co-Director, Biologically-Inspired Robotics Lab

Develops robots that can traverse and operate in new environments, inspired by biological models of smart physical systems

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Robert Gao

Department Chair, Mechanical and Aerospace Engineering
Cady Staley Professor of Engineering
Professor, Mechanical and Aerospace Engineering

Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems

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Roger Quinn

Arthur P. Armington Professor of Engineering
Professor, Mechanical and Aerospace Engineering
Director, Biologically Inspired Robotics

Develops neural and mechanical models of animals and uses data to design and control robots and exoskeletons