Obstacle Modeling for Environment Recognition of Mobile Robots Using Growing Neural Gas Network |
Kim, Min-Young
(Department of Mechanical Engineering, KAIST)
Hyungsuck Cho (Department of Mechanical Engineering, KAIST) Kim, Jae-Hoon (Mechatronics Research Department, Samsung Heavy Industries) |
1 |
A robust visual seam tracking system for robotic are welding
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DOI ScienceOn |
2 |
Approaches for recognition and interpretation of workpiece surface features using structured lighting
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3 |
Rapid world modeling: Fitting range data to geometric primitives
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4 |
3-D Object modeling and recognition for telerobotic manipulation
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5 |
Rapid world modeling from a mobile platform
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6 |
Robot Spatial Perception by Stereoscopic Vision and 3D Evidence Grids
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7 |
Visual sensing and recognition of welding environment for intelligent shipyard welding robots
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8 |
Sensory guidance of seam tracking robots
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DOI ScienceOn |
9 |
Navigation of mobile robots: open questions
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DOI ScienceOn |
10 |
Environmental modeling for autonomous welding robots
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11 |
Neural network-based recognition of navigation environment for intelligent shipyard welding robots
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12 |
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