Emilio Remolina

Qualitative Reasoning Research Group

University of Texas at Austin

Research

Artificiall Intelligence, Cognitive Robotics, Declarative AI


My current research is concerned with applications of declarative AI to robotics (Cognitive Robotics). In particular, I am interested in knowledge representations of space and how an agent (robot) ground these representations in its actual experiences in the world. Using classical control theory I have developed algorithms for robust robot navigation which ground the continuous interaction of a robot with the environment. Symbolic representations of space are created from this continuous interaction with the world.

Education

Here is my resume

Projects

  • Summer 1997. Wall following control law for Tommy. Following a wall with our robot Tommy turns out to be a difficult task since Tommy has only one lateral sonar. A Kalman Filter was used to mix a local model of a wall with the sonar reading. The values calculated by the kalman filter were then used as inputs to the control law to follow the wall. Experiments show how the use of a Kalman Filter improves the behavior of Tommy while following the wall. final report

  • Fall 1997 - Present. The Intelligent Wheelchair Project. The Intelligent Wheelchair Project is a join effort at the Qualitative Reasoning Research Group at The University of Texas at Austin. Its objective is to integrate different AI techniques in order to design an autonomous wheelchair assisting people with mobility impairments. My contribution in this project is to design a human level driver-wheelchair interface as well as the implementation of navigation routines to enhance the capabilities of the wheelchair.

    Publication

    Contact Information

    Office:
    Taylor Hall 5.114
    Phone: (512) 471-9576
    Email address:
    eremolin@cs.utexas.edu
    Postal address:
    The University of Texas at Austin
    Department of Computer Sciences, TAY 2.124
    Austin, TX 78712-1188