In robotics, our expertise ranges from minimally invasive surgical robots to the integration of robots into human environments to support daily tasks. Our computer vision group focuses on research in recognition, detection, medical imaging analysis, and computer vision for augmented reality. In graphics, our strengths include shape retrieval, symmetry detection, surface reconstruction, mesh editing, and image processing.
We collaborate often with the university’s Laboratory for Computational Sensing and Robotics (LCSR), widely regarded as one of the top robotics research sites in the world, particularly in the area of medical robotics.
Research Groups and Centers
Laboratory for Computational Sensing and Robotics (LCSR)
LCSR is a locus for robotics research, covering domains from computer-integrated medicine to human-computer interaction to robotic deep sea exploration.
Computational Interaction and Robotics Lab (CIRL)
CIRL researchers are interested in understanding the problems that involve dynamic, spatial interaction at the intersection of vision, robotics, and human-computer interaction.
Medical UltraSound Imaging and Intervention Collaboration (MUSiiC)
MUSiiC conducts research on advanced ultrasound techniques, including: ultrasound elastography imaging, 3D ultrasound reconstruction methods, parallel and GPU implementations, CT-US registration, and segmentation.
Computer Aided Medical Procedures
The complexity of surgical environments requires us to study, model and monitor surgical workflow enabling the development of novel patient and process specific imaging and visualization methods. The lab works on novel robotized multi-modal imaging solutions and data fusion and its interactive representation within augmented reality environments.
Computer Graphics Group
This group investigates shape retrieval, symmetry detection, surface reconstruction, mesh editing and image processing.
Intuitive Computing Laboratory
The Intuitive Computing Laboratory focuses on designing and building intuitive interaction capabilities for computing and robotics technologies that are to be integrated into human environments to enhance supported task performance and user experience.
People
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Email:hager@jhu.eduPhone:(410) 516-5521
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Email:chienming.huang@jhu.eduPhone:(410) 516-4537
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Email:mkazhda1@jhu.eduPhone:(410) 516-0060
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Russell Taylor
John C. Malone ProfessorEmail:rht@jhu.eduPhone:(410) 516-4639 -
Email:ssaria1@jhu.eduPhone:(410) 516-4126
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Email:pkaz@jhu.eduPhone:(410) 516-5590