Our research focuses on developing systems that are able to perceive, understand and respond to the world around them. This area of research has a wide range of applications, from design optimization and behavior modeling to vision-based surveillance, assistive robotics, autonomous systems and advanced manufacturing.
Faculty members in the department have expertise in several areas relevant to intelligent systems, particularly in computer vision, robotics and evolutionary computing.
In computer vision we investigate research topics in image and video segmentation, perceptual grouping, object recognition, biometrics, robotic vision, object detection and tracking, vehicle classification, activity and intent recognition for vision-based surveillance.
In robotics and control systems we investigate research topics in human-robot interaction, assistive robotics, development of infrastructure inspection robotic systems, multi-robot collaborative control, learning and sensing, and human-robot collaboration for advanced manufacturing.
In evolutionary computing we investigate genetic algorithms and their applications to search, optimization, and machine learning. We investigate and build systems that attack poorly understood, non-linear, combinatorial optimization problems, design new artifacts from functional descriptions, co-evolve new tactics and strategies for smart adversaries in training simulations and games, and help scientists fine tune highly non-linear models.
Browse a list of representative research projects on our projects page:
Computer Vision Laboratory (CVL)
Primary Contacts: George Bebis and Mircea Nicolescu
Major Focus: Object recognition, visual motion analysis, 3-D reconstruction, face detection/recognition, biometrics, tracking and pose estimation projects of human body/head/ hand/eye-gaze, surveillance and human activity recognition.
Website: Computer Vision Laboratory Website
Robotics Research Laboratory
Primary Contact: Monica Nicolescu and David Feil-Seifer
Major Focus: Mobile and articulated robotics, multi-agent systems, machine learning, motion planning, human-robot interaction, biologically inspired robotics, and human activity recognition.
Website: Robotics Laboratory Website