Intelligent and 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 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.

Research Projects

Browse a list of representative research projects on our projects page:

Research Labs

Advanced Robotics and Automation Laboratory

Primary Contacts: Hung (Jim La)
Major Focus: Mobile robotic systems, multi-robot systems, infrastructure/bridge inspection robotic systems, human-robot collaboration, automatic control systems
Website: Advanced Robotics and Automation Laboratory

Autonomous Robots Laboratory

Primary Contacts: Kostas Alexis
Major Focus: Creating cognizant, intelligent robotic systems capable of long-term autonomous operation in complex, dynamic, diverse environments
Website: Autonomous Robots Laboratory

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

Evolutionary Computing Systems Laboratory (ECSL)

Primary Contact: Sushil Louis
Major Focus: Evolutionary computing based machine learning and its applications to military training and decision support, computer gaming, and modeling and inversion.
Website: Evolutionary Computing Systems Lab 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


Faculty in this area

Kostas Alexis

Kostas Alexis

Assistant Professor

kalexis@unr.edu

SEM 202

George Bebis

George Bebis

Professor and Chair

bebis@cse.unr.edu

(775) 784-6463 | SEM 241

David Feil-Seifer

David Feil-Seifer

Assistant Professor

dave@cse.unr.edu

(775) 784-6469 | SEM 218

Hung La

Hung (Jim) La

Assistant Professor

hla@unr.edu

(775) 682-6862 | SEM 214

Siming Liu

Siming Liu

Lecturer

simingl@unr.edu

EJCH 231

Sushil Louis

Sushil Louis

Professor

sushil@cse.unr.edu

(775) 784-4315 | SEM 237

Monica Nicolescu

Monica Nicolescu

Professor

monica@cse.unr.edu

(775) 784-1687 | SEM 239

Mircea Nicolescu

Mircea Nicolescu

Professor

mircea@cse.unr.edu

(775) 784-4356 | SEM 232