Robotics and Mechatronics
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.
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Institutes, centers and labs related to Robotics and Mechatronics
Faculty who conduct research in Robotics and Mechatronics
Richard Bachmann
Assistant Professor, Mechanical and Aerospace Engineering
Researches biologically inspired robotics
Changyong (Chase) Cao
Assistant Professor, Mechanical and Aerospace Engineering
Study the mechanics, designs, and manufacturing of smart multifunctional materials, soft robotics, soft electronics, and self-powered sensing systems.
Zonghe Chua
Assistant Professor, Department of Electrical, Computer and Systems Engineering
I develop intelligent telerobotic systems that sense and reason about their operator to deliver smart multisensory feedback that enhances the human-robot system performance.
Kathryn Daltorio
Associate 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
Robert Gao
Department Chair, Mechanical and Aerospace Engineering
Professor, Mechanical and Aerospace Engineering
Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems
Zach Patterson
Assistant Professor, Mechanical and Aerospace Engineering
Develops interaction safe bioinspired robots and control algorithms.
Roger Quinn
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
Brian Taylor
Assistant Professor, Mechanical and Aerospace Engineering
Uses engineering approaches to understand biological sensation and navigation, and leverages biological understanding to develop novel engineered autonomous systems.