Michael Krainin
Papers
6
Total Citations
3,081
H-Index
6
About
Michael Krainin is a leading researcher in robotics and computer vision, best known for pioneering the use of RGB-D cameras—like the Microsoft Kinect—for dense 3D mapping and autonomous navigation. His seminal work, "RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments," has garnered over 1,170 citations, establishing a foundational approach for building detailed 3D maps from affordable sensors. This breakthrough has been instrumental in advancing robot navigation, manipulation, and indoor modeling. Krainin further extended these techniques to autonomous flight, developing visual odometry and mapping systems for GPS-denied environments, a contribution cited over 610 times. His research also addresses in-hand 3D object modeling, enabling robots to autonomously grasp and manipulate objects to build complete surface models, with key papers accumulating hundreds of citations. By integrating estimation, planning, and mapping, Krainin has significantly impacted the fields of mobile robotics and 3D perception, providing practical solutions for real-world applications. His work continues to inspire innovations in autonomous systems and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments811 citations · 2013
- 3Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera610 citations · 2016
- 4Manipulator and object tracking for in-hand 3D object modeling168 citations · 2011
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- 6