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Current Labs & Groups, Sorted Alphabetically
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Advanced Agent - Robotics Technology Lab
Here, researchers explore multi-agent planning and scheduling, multi-agent learning, multi-agent negotiation, and decision support for human teams
Advanced Mechatronics Lab (AML)
Research on distributed robotics, distributed informations systems, sensor based robotics, and reconfigurable systems. Test
Advanced Mobile Robot Control Laboratory
Research and development of mobile concepts for mapping, position estimation, motion planning and control of mobile robots.
Auton Lab
We build practical large-scale deployments of very highly autonomous self-improving systems.
Biomedical Image Guidance (BIG)
Our research into the guidance of biomedical tools applies novel optics and computer vision algorithms to the design and real-time analysis of biomedical imaging modalities such as OCT and ultrasound. We use computer vision to assist human placement of biomedical scanners, and we use novel visualization of biomedical images to better guide human manipulation of tools.
Biorobotics
Conducting motion planning research for snake robots, mobile robots, and actuator arrays, mainly geared for scenarios where the robot does not have a priori knowledge of the world.
Component Analysis
The Component Analysis Lab is devoted to research new learning techniques to encode and decompose a given signal into relevant components for classification, clustering, modeling and visualization.
Computational Sensor Laboratory
We are developing specialty imaging sensors for improving robustness and capabilities of robot vision systems.
Computer Graphics Lab
Modeling, animation, and rendering of 3-D scenes
Computer Vision Lab
The CI2CV Lab, led by Dr Simon Lucey, is about doing cutting edge research and developing technology in the fields of computer vision and machine learning
CREATE: Community Robotics, Education and Technology Empowerment
CREATE brings together our mission in furthering Human-Robot Interaction with our desire to disruptively redefine how communities can make sense of their context through the use of robotic technologies.