Intelligent Systems and Robotics

[Overview]   [Faculty]   [Projects]   [Courses]

The intelligent systems and robotics area focuses on understanding, engineering, and applying intelligent systems; and on providing advanced interfaces between humans and intelligent artifacts. Intelligence is a highly complex phenomenon and no single approach can sufficiently address all the major issues. For example, the subject of study ranges from sensory perception, high-level inference and planning, precision motor control, to interaction between/among natural and artificial agents. To tackle these complex tasks, we employ novel techniques from machine learning, pattern recognition, multi-agent technology, biologically motivated models, probabilistic planning and control, and user studies. Specific applications resulting from our effort include autonomous robots, computational vision and olfaction systems, intelligent agents for team training, and smart interfaces for enhancing creativity and collaboration.

Faculty

Nancy Amato   (Research Interests: Motion Planning, Robotics, Computational Geometry, Virtual Reality, Computational Biology/Chemistry, Parallel and Distributed Computing, Parallel Algorithms, Performance Modeling)

Yoonsuck Choe   (Neural Networks, Computational Neuroscience, Visual Perception, Autonomous Agents, Image Retrieval, and Artificial Intelligence)

Ricardo Gutierrez-Osuna   (Pattern Recognition, Intelligent Sensors, Machine Olfaction, Speech-driven Facial Animation, Biological Cybernetics, Mobile Robotics, Machine Learning)

Tracy Hammond   (Concept Learning, Sketch Recognition, Aritifical Intelligence, Human Computer Interfaces, Gender Gap in Computer Science)

Thomas Ioerger   (Artificial Intelligence, Machine Learning, Intelligent Agents, Bioinformatics)

Andruid Kerne   (Web Mining, Sensor Networks, Affective Modeling, User Interest Modeling, Interfaces for Machine Learning, Distributed Computing Architectures, Internet Architectures, Real-Time Systems)

Bruce McCormick   (Brain Mapping, Neural Networks, and Scientific Visualization and Modeling)

Frank Shipman   (Intelligent User Interfaces, Hypertext, Computers and Education, Computer-Human Interaction, Computer-Supported Cooperative Work)

Dezhen Song (Networked Robotics, Multimedia, Operation Research, Intelligent Systems, and Automation)

Richard Volz   (Application of Information Technology to Advanced Training Systems, Real-time Embedded Computing in Robotics and Manufacturing Telerobotics, Distributed Programming and Languages, Software Engineering)

Projects

Amato - Parasol
    Probabilistic roadmap (motion planning) project

Choe - Neural Intelligence Lab
    Topographica cortical map simulator project

Gutierrez-Osuna - PRISM Lab
     Machine olfaction - Mobile robots - Speech-driven facial animation

Ioerger - http://faculty.cs.tamu.edu/ioerger/research.html
     Intelligent Distributed Group and Team Training Systems

McCormick - Brain Networks Lab
    Knife-edge scanning microscope project

Shipman - http://www.csdl.tamu.edu/~shipman
    Visual knowledge builder project

Song - http://faculty.cs.tamu.edu/dzsong
    Current Projects

Volz - http://linserver.cs.tamu.edu/~ravolz
    Intelligent Distributed Group and Team Training Systems

Courses

CPSC 420. Artificial Intelligence.
CPSC 452. Robotics and Spatial Intelligence.
CPSC 609. Artificial Intelligence Approaches to Software Engineering.
CPSC 625. Artificial Intelligence.
CPSC 631. Programming Environments for Artificial Intelligence.
CPSC 632. Expert Systems.
CPSC 633. Machine Learning.
CPSC 634. Intelligent User Interfaces.
CPSC 636. Neural Networks.
CPSC 639. Fuzzy Logic and Intelligent Systems.
CPSC 643. Robotics Programming.

CPSC 489-503. Special Topics in Information/Media (Structures of Interactive Information Media).
CPSC 689. Special Topics in Cortical Networks.
CPSC 689. Special Topics in Statistical Pattern Recognition.
CPSC 689. Special Topics in Intelligent Neural Systems.