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Michael Kaess
Assistant Research Professor, RI
Email:
Office: NSH 1617
Phone: (412) 268-6905
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213
Administrative Assistant: Stephanie Matvey
Affiliated Center(s):
 Field Robotics Center (FRC)
Personal Homepage
Research Interests

Perception is a fundamental challenge for mobile robots navigating through and interacting with their environment. My research focuses on 3D mapping and localization using information from any available sensor, including vision, laser, inertial, GPS and sonar (underwater). To enable online operation, my research also explores novel algorithms for efficient and robust inference at the intersection of linear algebra and probabilistic graphical models.

Research Interest Keywords
3-D Mappingautonomous navigationcomputer visionfield roboticsinformation fusioninspectionmobile robotsoptimizationsensor fusion