Date: Mon, 11 Nov 1996 02:07:56 GMT Server: NCSA/1.4.1 Content-type: text/html Vladimir J. Lumelsky's Home Page

Vladimir J. Lumelsky

Professor
Mechanical Engineering, Computer Sciences, and EC&E Depts.
University of Wisconsin-Madison

E-mail: lumelsky@engr.wisc.edu
Telephone: (608) 263-1659
Fax: (608) 265-2316
Ph.D., Institute of Control Sciences, Russian National Academy of Sciences, Moscow, 1970.

Research Interests: Robotics, Geometry and Complexity of Motion Planning, Kinematics, Cognitive and Information Aspects of Motion, Sensor-Based Intelligent Systems, Industrial Automation, Control Theory, Pattern Recognition.

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Research

My current research is in the area of fully automatic (robotic) and human-centered semi-automatic systems, and covers theoretical, simulation/animation, and experimental work. In the area of fully automatic systems, our focus is on development of means for geometric reasoning and control necessary for automatic planning of motion in a complex environment. A machine equipped with such means is able to purposely move in a complex scene with multiple, perhaps moving, obstacles of arbitrary shapes. We are especially interested in a paradigm which assumes incomplete information and continuous real-time computation based on sensory feedback (e.g., from vision or range sensors). This model suggests economic active sensing guided by the motion planning needs. A strong factor in such systems is the effect of system dynamics and nonholonomic contstraints on real-time control.

As part of our work on human-centered systems, we study (jointly with cognitive scientists) human skills in motion planning and space orientation. These results are then used for comparison with the performance of automatic systems and for developong hybrid physical (teleoperated) and computer graphics interaction systems. The major property of such a hybrid system is that it blends together, in a synergistic manner, human and machine intelligences. Our hardware/experimental work includes systems with massive real-time sensing and control (e.g. with thousands of sensors operating in parallel).

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Courses

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Recent Projects. Selected Publications

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