The 3DVIS group conducts research using 3D sensors, such as laser scanners and stereo vision, as well as image-based visual sensing, to improve our understanding of these devices and to automate processes in various domains, ranging from autonomous vehicles to the architecture, engineering, and construction (AEC) industry.

Here, researchers explore multi-agent planning and scheduling, multi-agent learning, multi-agent negotiation, and decision support for human teams

The AIR lab develops and tests perception and planning algorithms for unmanned air vehicles.

We build practical large-scale deployments of very highly autonomous self-improving systems.

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.

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.

Modeling, animation, and rendering of 3-D scenes

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 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.

Robust detection, recognition, and tracking of human faces with automated analysis of expressions