Jianhao Lv

ORCID: 0000-0001-8472-7773
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About
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Research Areas
  • Robot Manipulation and Learning
  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • 3D Surveying and Cultural Heritage
  • Multimodal Machine Learning Applications
  • Visual Attention and Saliency Detection
  • Advanced Surface Polishing Techniques
  • Advanced Measurement and Metrology Techniques
  • Quality and Safety in Healthcare
  • Industrial Vision Systems and Defect Detection
  • Assembly Line Balancing Optimization
  • Robotics and Sensor-Based Localization
  • Surface Roughness and Optical Measurements
  • Augmented Reality Applications

Donghua University
2022-2024

Harbin University of Science and Technology
2024

AR-assisted assembly refers to the overlaying of virtual models, annotations, and other AR instructions in a genuine scene help workers perform tasks. However, most AR-aided processes lack awareness require frequent interaction complete guidance process. To achieve intelligent assembly, this paper firstly uses an instance segmentation method based on depth learning process RGB-D data scene, segment object, corresponding information according mask reconstruct point cloud object. Next,...

10.1080/0951192x.2024.2328045 article EN International Journal of Computer Integrated Manufacturing 2024-03-16

To make up for the deficiency of manual disassembly which is low efficiency, high cost and poor safety, robots have great advantages in performing safe effective end-of-life power batteries. Human-robot collaboration (HRC) mostly pre-programmed, lacks adaptability as well flexibility to dynamic scenarios. Therefore, it challenging ensure efficiency safety human-robot collaborative disassembly(HRCD) retired Targeting that, this research proposes a mixed reality (MR) assisted scene perception...

10.1109/case56687.2023.10260664 article EN 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) 2023-08-26

Human–robot collaborative assembly is required to comprehensively perceive the working scenarios for most possible collaborations. Nevertheless, existing works have paid much attention physical entities (i.e., object detection, pose estimation), while ignores weight of interactive relationships. This research gap makes it difficult become aware cues decision-making, especially in a complicated task. Furthermore, inadequate relative position characteristics and indescribable influence remain...

10.1109/tii.2023.3303964 article EN IEEE Transactions on Industrial Informatics 2023-08-23

Human-robot collaboration (HRC) is an important method for manufacturing industry to realize intelligent and flexible production. While robots partially replace human labor, they improve production efficiency accelerate the process of intellectualization. However, in human-robot system, when humans need perform frequent collaborative operations, execution cobot actions plagued by robot's inability know trend behavior advance, which turn leads decision delays or errors. In this regard, a...

10.1109/case49997.2022.9926617 article EN 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) 2022-08-20

Optical mold external surface inspection is a key link in the manufacturing industry, which vital to ensure quality of and final performance product. With rapid development high new technology, modern precision industry metrology have also made development, at same time, advanced measuring instruments, separation topographic features evaluation characteristic parameters technology develop higher level. Advanced instruments are hardware platforms prerequisites measurement topography,...

10.2174/0118722121314357240911112849 article EN Recent Patents on Engineering 2024-12-09
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