The science of robotics is general-purpose and is increasingly applied to solve many diverse problems. Our faculty capitalize on the unique strengths of the Whiting School and other collaborations across the university to advance the frontiers of robotic science and engineering.
Our expertise ranges from minimally invasive surgical robots to the integration of robotic systems into human environments to support daily tasks. We often collaborate with the university’s Laboratory for Computational Sensing and Robotics, widely regarded as one of the top robotics research sites in the world—particularly in the area of medical robotics.
Research Groups and Labs
Advanced Robotics and Computationally AugmenteD Environments Lab
The ARCADE Lab develops collaborative intelligent systems that support clinical workflows to increase access to—and expand the possibilities of—highest-quality health care. In designing these systems, they pioneer human-centered solutions that are enabled by synergistic advancements across imaging, computer vision, machine learning, and interaction design and that are embodied in emerging technology such as mixed reality and robotics.
Computer Integrated Interventional Systems Laboratory
The CIIS Lab exists to develop surgical systems that integrate novel computer and human/machine interface technologies that will revolutionize surgical procedures, extending surgeons’ abilities to achieve better outcomes at lower costs.
Computational Interaction and Robotics Lab
CIRL researchers are interested in understanding problems that involve dynamic, spatial interaction at the intersection of vision, robotics, and human-computer interaction.
Intuitive Computing Laboratory
The Intuitive Computing Laboratory focuses on designing and building intuitive interaction capabilities for computing and robotics technologies to be integrated into human environments to enhance supported task performance and user experience.
Laboratory for Computational Sensing and Robotics
The LCSR is a locus for robotics research, covering domains from computer-integrated medicine to human-computer interaction to robotic deep sea exploration.
Sci-Phy Lab
The Sci-Phy Lab studies the science of physical agents—intelligent systems that perceive, reason, and act in the physical world—to uncover the general principles that enable robots to move, manipulate, and interact seamlessly with objects, people, and other physical agents.
Social Cognitive AI Lab
Working at the intersection of embodied AI, machine learning, and computational social cognition, SCAI’s goal is to advance human-centered AI by engineering machine social intelligence to build socially intelligent systems that can understand, reason about, and interact with humans in real-world settings.
People
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Email:hbharad2@jh.edu
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Email:bhattad@jhu.edu
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Email:zchiu@jhu.edu
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Email:jaemin@jhu.edu
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Anton Dahbura
Executive Director of the Johns Hopkins University Information Security Institute and Co-Director of the Johns Hopkins Institute for Assured Autonomy
Email:AntonDahbura@jhu.eduPhone:410-516-0211
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Gregory D. Hager
Mandell Bellmore Professor
Email:hager@jhu.eduPhone:410-516-5521
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Email:haimin@cs.jhu.edu
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Email:chienming.huang@jhu.eduPhone:410-516-4537
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Email:kmj@jhu.edu
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Email:craigj@jhu.edu
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Email:pkaz@jhu.eduPhone:410-516-5590
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Email:tianmin.shu@jhu.edu
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Russell Taylor
John C. Malone Professor
Email:rht@jhu.eduPhone:410-516-4639
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Email:mathias@jhu.eduPhone:410-516-4253
Muyinatu “Bisi” Bell
Rama Chellappa
Ralph Etienne-Cummings
Axel Krieger
Enrique Mallada
Talking robots learn to manage human interruptions
Johns Hopkins computer scientists designed an interruption-handling system to facilitate more natural conversations with social robots.