Gang Rao

ORCID: 0000-0001-6080-7576
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Optical measurement and interference techniques
  • Advanced Measurement and Metrology Techniques
  • Metal-Organic Frameworks: Synthesis and Applications
  • 3D Surveying and Cultural Heritage
  • Image Processing Techniques and Applications
  • Adsorption and biosorption for pollutant removal
  • Covalent Organic Framework Applications
  • Advanced Surface Polishing Techniques
  • Advanced Vision and Imaging
  • Catalytic Processes in Materials Science
  • Advanced Optical Sensing Technologies
  • Manufacturing Process and Optimization
  • Industrial Gas Emission Control
  • Surface Roughness and Optical Measurements
  • Robotics and Sensor-Based Localization
  • Advanced Numerical Analysis Techniques
  • Advanced Cellulose Research Studies
  • Thermochemical Biomass Conversion Processes
  • Bamboo properties and applications

Huazhong University of Science and Technology
2022-2024

Tsinghua University
2017-2021

Beijing Institute of Technology
2019

State Key Laboratory of Tribology
2017

In a large-scale structure assembly, highly accurate normal direction measurement for robotic drilling is required. However, the robustness and accuracy of existing method with range sensor would dramatically decrease high-curvature surface, such as surface edge, due to low resolution sensor. To this end, high-resolution fringe projection proposed improve accuracy. method, different from control scheme design reconstructed three-dimensional point cloud in profilometry, which involves high...

10.1109/tie.2019.2952791 article EN IEEE Transactions on Industrial Electronics 2019-11-15

Sinusoidal fringe pattern is widely used in optical profilometry; however, the traditional constant-frequency sinusoidal reduces 3D measurement accuracy defocus region. To this end, paper presents a variable-frequency method that optimized by depth. The proposed improves pixel matching and thus increases accuracy. This theoretically determines optimal frequency analyzing error caused intense noise captured image; online optimization along abscissa ordinate axes patterns; details encoding...

10.1364/oe.26.019986 article EN cc-by Optics Express 2018-07-25

In large-scale structure assembly, the normal direction of a drilled surface is required to be measured online instead extracted directly from computer-aided design model because tool error, cutting force, and other factors. To this end, first, high-resolution structured-light-based three-dimensional (3-D) measurement adopted improve reliability; second, tensor voting proposed remove noise fill in blanks 3-D point cloud obtain uniform distribution for fitting; third, smoothness after rivet...

10.1109/tmech.2017.2747133 article EN IEEE/ASME Transactions on Mechatronics 2017-08-30

In order to optimize the pose of welding torch preplanned by offline programming, a structured light-based visual servoing method is proposed. First all, series phase shifting patterns are projected acquire so-called map. Afterwards, unlike usual feature extraction methods, which were based on 3-D cloud, cylinder axis extracted directly from map represent connecting pipes' cylindrical surface. Then, control law combined with seam center in proposed torch. Moreover, global asymptotic...

10.1109/access.2019.2943248 article EN cc-by IEEE Access 2019-01-01

To solve problems including the surface distortion and profile error cannot be considered in robotic off-line programming, object parts are often texture-less or even without contour, we propose a new visual servo control method directly using phase map as features. The high accuracy of ensures positioning target tracking tasks. Every entry is used features so no complex image processing feature extracting matching needed. corresponding interaction matrix deduced law constructed. validity...

10.1117/12.2500629 article EN 2018-11-07

Fringe Projection Profilometry (FPP) is considered to be one of the most reliable and accurate 3D measurement methods. However, in many applications, changes ambient temperature or self-heating effects will cause different components expansion contraction optical systems. Owing fact that parameters structured light system are usually fixed after calibrated, precision high-accuracy greatly reduced if influence related thermal error ignored. In this study, we analyze model system, verify our...

10.1109/cyber53097.2021.9588241 article EN 2021-07-27

Structured light image systems have been used effectively for precise measurement of 3-D surfaces in a computer image. Their applications are mostly restricted to scanning stationary objects, as tens images be captured improving single scene. This work presents an idea real-time acquisition surface data by specially coded system. To achieve dynamic scene, the must accomplished with only A principle distinctively color-encoded pattern projection is proposed mean color matrix renovation...

10.14445/22315381/ijett-v29p266 article EN International Journal of Engineering Trends and Technology 2015-11-25

In large assembly, the smoothness is important for fluid dynamic configuration and installation stability which partly depended on perpendicularity of rivet installation. Thus, normal direction a drilling surface required to be measured online other than extracted from CAD model because deflection between real product tool error, assembly deformation factors. Besides direction, local after should also taken into account significantly before drilling. To this end, optimization method based 3D...

10.1109/cyber.2017.8446163 article EN 2017-07-01

In large-scale assembly, the perpendicularity of bolting fastens is very critical for fatigue life and fluid dynamic configuration drilled surface. Because deformation from assembly stress workpiece manufacturing error, profile prepared drilling surface different CAD model, so on-line normal direction measurement required instead extracting model. this article, a robust method in robotic based on point cloud proposed. our method, structure-light-based 3D sensor used acquiring then modified...

10.1109/cyber.2017.8446386 article EN 2017-07-01
Coming Soon ...