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.
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.
The AD-CRL is a multi-disciplinary effort focused on studying, designing and implementing various technologies to make autonomous (driverless) vehicles both practical and affordable.
The Illumination and Imaging (ILIM) Laboratory at the Robotics Institute is dedicated to the study of light transport and the development of novel illumination and imaging technologies.
robotics for difficult measurements in difficult environments, 3D-stereoscopic display systems, and sensor-based measurement, medical, and control systems
The People Image Analysis (PIA) Consortium develops and distributestechnologies that process images and videos to detect, track, and understand peoples' faces, bodies, and activities.
Applying the principles of biology and engineering to develop tissue substitutes to restore, maintain, or improve the function of diseased or damaged human tissues.