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| Vladimir J. Lumelsky |
| Vladimir J. Lumelsky Professor Emeritus |
| Primary Address:
304 Mechanical Engineering Building 1513 University Avenue Madison, WI 53706 E-mail: lumelsky@engr.wisc.edu |
Secondary Address:
NASA - Goddard Space Center
Greenbelt Rd Greenbelt MD 20771 Tel: 301-286-6621 |
The UW-Madison Robotics Laboratory directed by Professor Lumelsky is devoted to research in robotics and industrial automation. Projects in the lab lie at the intersection of sensing, intelligence, and motion, and relate to one of the most complex behavioral functions found in nature and technology -- sensor-based motion planning. Our emphases are
a) on systems that operate in a highly uncertain and unpredictable environment where the robot's motion planning decisions must be made based on real-time sensing information rather than on pre-stored knowledge;
b) on analysis and design of mathematical underpinnings, strategies, and algorithms for the operation of such systems, and
c) on development of sensing hardware and physical robotic systems that realize such behavior.
In other words, our key question is - how does one combine sensing, spatial reasoning, prior knowledge, and the sense of purpose to conceive and generate a goal-oriented motion in a complex, uncertain, and time-changing environment? By its nature this research is multi-disciplinary. Members of the lab represent the disciplines of mechanical engineering, electrical engineering, computer science, mathematics, and cognitive science. The lab projects cover theory, computer simulation and animation, and hardware design. The lab's physical infrastructure includes industrial arm manipulators, mobile robots, and relevant computing hardware. As an example, one of our projects addresses designing a whole-sensitive robot arm manipulator. Its motion planning makes use of a sensitive skin that covers the arm's whole body -- similar to the human skin, except that proximity (rather than tactile) sensing with over 1,000 embedded sensors is used.
Dr. Lumelsky is an instructor for both introductory and advanced courses in robotics, industrial automation, and pattern recognition.