Gheorghe Lazea

About

Gheorghe Lazea is a robotics researcher whose work focuses on enabling mobile robots to perceive, navigate, and interact with unknown environments. His major contributions span three interconnected areas: robust object segmentation for pick-and-place tasks, open and modular robot architectures, and advanced localization techniques. His most cited work, "Robustly Segmenting Cylindrical and Box-like Objects in Cluttered Scenes using Depth Cameras" (18 citations), addresses the critical challenge of assistive robots operating in unstructured settings without prior knowledge of object shapes. Lazea has also made significant strides in solving the "kidnapped robot problem" through innovative adaptations of 2D SURF features for global localization (11 citations), and has developed practical LIDAR-based localization frameworks for indoor navigation (11 citations). His early work on the ZeeRO open architecture (12 citations) demonstrated how off-the-shelf components could achieve remarkable modularity in mobile robot design. Beyond perception and localization, Lazea has contributed to 3D scanning systems for urban scene segmentation, adaptive PID learning controllers for periodic motion, and dynamic object tracking using LIDAR. His research consistently bridges theoretical algorithms with practical robotic implementations, making his work valuable for both academic researchers and engineers developing real-world autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Robustly Segmenting Cylindrical and Box-like Objects in Cluttered Scenes using Depth Cameras

   18 citations · 2012
2. 2
   Towards Open Architectures for Mobile Robots: ZeeRO

   12 citations · 2006
3. 3
   New approach in solving the kidnapped robot problem

   11 citations · 2010
4. 4
   Laser Based Localization Techniques for Indoor Mobile Robots

   11 citations · 2009
5. 5
   3D Laser scanning system and 3D segmentation of urban scenes

   9 citations · 2010
6. 6
   Graph Search Techniques for Mobile Robot Path Planning

   7 citations · 2010
7. 7
   Classification within indoor environments using 3D perception

   5 citations · 2012
8. 8
   Visual odometer system to build feature based maps for mobile robot navigation

   3 citations · 2010
9. 9
   An adaptive PID learning controller for periodic robot motion

   3 citations · 2004
10. 10
    Pattern Recognition and Tracking Dynamic Objects with LIDAR

    3 citations · 2010

Key Collaborators

Contact & Links