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

Muyinatu “Bisi” Bell

John C. Associate Professor of Electrical and Computer Engineering
Location:
208 Barton Hall

Rama Chellappa

Bloomberg Distinguished Professor of Computer Vision and Artificial Intelligence
Location:
301 Clark Hall

Noah Cowan

Professor, Mechanical Engineering
Location:
121 Hackerman Hall

Ralph Etienne-Cummings

Julian S. Smith Professor of Electrical and Computer Engineering
Location:
105 Barton Hall

Mahyar Fazlyab

Assistant Professor, Electrical and Computer Engineering
Location:
224B Hackerman Hall

Sijia Geng

Assistant Professor, Electrical and Computer Engineering
Location:
207 Barton Hall

Sanjeev Khudanpur

Associate Professor, Electrical and Computer Engineering
Location:
325 Hackerman Hall

Axel Krieger

Carol Croft Linde Faculty Scholar and Associate Professor, Mechanical Engineering
Location:
116 Hackerman Hall
Phone:
410-516-7127

Enrique Mallada

Associate Professor, Electrical and Computer Engineering, Mechanical Engineering, & Applied Mathematics and Statistics
Location:
312 Barton Hall

Tinoosh Mohsenin

Associate Professor, Electrical and Computer Engineering
Location:
309 Barton Hall

Rebecca Schulman

Associate Professor, Chemical and Biomolecular Engineering
Location:
200B Shaffer Hall

Louis Whitcomb

Professor, Mechanical Engineering
Location:
115 Hackerman Hall

Talking robots learn to manage human interruptions

Johns Hopkins computer scientists designed an interruption-handling system to facilitate more natural conversations with social robots.