Intelligent & autonomous systems
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 image and video segmentation, perceptual grouping, biometrics, object detection and tracking, activity and intent recognition.
- In robotics and control systems, we investigate human-robot interaction, multi-robot control and collaboration, infrastructure inspection robotic systems, and human-robot collaboration.
- In evolutionary computing, we investigate genetic algorithms and their applications in computer game AI, search, optimization and machine learning.
Intelligent & autonomous systems research labs
Advanced Robotics and Automation Laboratory
Major Focus: Mobile robotic systems, multi-robot systems, infrastructure/bridge inspection robotic systems, human-robot collaboration, automatic control systems
Autonomous Robots Laboratory
Major Focus: Creating cognizant, intelligent robotic systems capable of long-term autonomous operation in complex, dynamic, diverse environments
Computer Vision Laboratory (CVL)
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
Evolutionary Computing Systems Laboratory (ECSL)
Major Focus: Evolutionary computing based machine learning and its applications to military training and decision support, computer gaming, and modeling and inversion
Robotics Research Laboratory
Major Focus: Mobile and articulated robotics, multi-agent systems, machine learning, motion planning, human-robot interaction, biologically inspired robotics, and human activity recognition