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<title>Wan Yik Lee's Research Work</title><h2> The Spatial Semantic Hierarchy for Physical Robots </h2>The goal of my doctorate research is to extend the <!WA0><a href="http://www.cs.utexas.edu/users/wylee/ssh-overview.html"> Spatial Semantic Hierarchy (SSH)</a>approach to robot exploration and mapping, and demonstrate andevaluate its effectiveness in controlling physical mobile robots.  <p>The Spatial Semantic Hierarchy approach to robot exploration andmapping has been developed in the context of a simulated robot, NX,and tested on simulated environments with very simple models ofsensorimotor errors [Kuipers and Levitt, 1988; Kuipers and Byun, 1988,1991].  Physical implementations of aspects of the SSH approach havebeen built by other researchers but they do not provide adequatedemonstration of its strengths or adequate analysis of its conditionsof applicability.  <p>The proposed research will extend the SSH Mapping theory from itsoriginal prototypical version to a version adequate for handling realsensorimotor interaction with a real (office) environment. Theextended theory will be implemented on a physical robot to explore apreviously unknown environment, and to create a SSH spatial descriptionof the environment. Demonstration and evaluation of the SSH approachwill be performed along several of its features.<p>First, we design and implement a set of reactive control laws whichare robust towards sensor and effector inadequacies in real worldand useful for defining distinctive places and paths.<p>Second, we investigate the ability of the SSH approach to build finitetopological graph description of a continuous environment, adequatefor path-finding, based on the robot's continuous interaction with itsenvironment through its control laws.<p>Third, we will demonstrate and evaluate the ability of the SSHapproach to build a detailed metrical map, and its use indisambiguating topological ambiguities, discriminating alternativeroutes of different length and identifying shortcuts.<p>Fourth, we will investigate the utility of the map for model-basedcontrol, providing an expectation-driven sensing strategy.<p>[Interested in <!WA1><a href="http://www.cs.utexas.edu/users/wylee/my-phd-committee.html"> my dissertationcommittee?</a>]<p> <address><!WA2><a href="http://www.cs.utexas.edu/users/wylee">WYL</a></address>

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