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, Professor   (Motion planning, computational biology, robotics, computational geometry, animation, CAD, VR, parallel and distributed computing, parallel algorithms, performance modeling, and optimization)

Yoonsuck Choe, Associate Professor   (Brain Networks Lab, Neural Intelligence Lab, Multi-scale modeling of mouse brain networks project, Topographica cortical map simulator project)

Ricardo Gutierrez-Osuna, Associate Professor   (Intelligent sensors, speech processing, face recognition, machine olfaction, neuromorphic computation, mobile robotics, pattern recognition, machine learning)

Tracy Hammond, Assistant Professor   (Sketch recognition, gesture recognition, haptics, hand-tracking, artificial intelligence, human computer interfaces)

Thomas Ioerger, Associate Professor   (Artificial intelligence, machine learning, intelligent agents, bioinformatics)

Andruid Kerne, Associate Professor   (Recombinant knowledge spaces, interface ecosystems, augmentation of creative process, wearable affective computing. | Semiotics, time-based media, social interactivity, public installation, ambient media, sensor networks, cultural databases. | Information visualization, human computer interaction, visual hypertext, distributed and embedded real-time and Internet architectures, machine learning.)

Frank Shipman, Professor   (Intelligent user interfaces, hypertext, computers and education, multimedia, new media, computers and design, computer-human interaction, computer-supported cooperative work)

Dezhen Song, Assistant Professor   (Networked robotics, computer vision, multimedia, autonomous vehicle, optimization, automation)

Projects

Nancy Amato - Parasol
    Probabilistic roadmap (motion planning) project

Yoonsuck Choe - Neural Intelligence Lab
    Topographica cortical map simulator project

Tracy Hammond - Sketch Recognition Lab

Ricardo Gutierrez-Osuna - PRISM Lab
     Signal processing methods for voice conversion - wearable physiological sensors - active chemical sensing - caricature-based face perception

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

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

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

Courses

CPSC 420. Artificial Intelligence.
CPSC 452. Robotics and Spatial Intelligence.
CPSC 609. Artificial Intelligence Approaches to Software Engineering.
CPSC 624. Sketch Recognition.
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. Seminar in Intelligent Systems and Robotics.
CPSC 644. Cortical Networks.

CPSC 489. Special Topics...
CPSC 689. Special Topics...