Automated Pose Measurement Method Based on Multivision and Sensor Collaboration for Slice Microdevice

Shen, Fei; Qin, Fangbo; Zhang, Zhengtao; Xu, De; Zhang, Juan; Wu, Wei

doi:10.1109/tie.2020.2965472

Cited by 15 publications

(5 citation statements)

References 17 publications

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“…The orientation of the end-effector is represented by the Z-Y -X Euler angles. ṗek ∈ R 3 and ω ek ∈ R 3 represent, respectively, the linear and angular velocities of the k−th end-effector, which can be collected in the generalized velocity vector v ek = ( ṗT ek , ω T ek…”

Section: A Task Formulation For Coordinated Motionmentioning

confidence: 99%

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Task-Based Compliance Control for Bottle Screw Manipulation With a Dual-Arm Robot

Jiao

Zhang

et al. 2024

IEEE Trans. Ind. Electron.

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In this paper, a novel task-based compliance control approach for a dual-arm robot is presented with a bottle screw task. The presented approach aims at overcoming uncertainties from the object model and contact forces during the bottle screw task. A novel framework is proposed to synthesize the task motion planning and compliance control that ensure desired performance of both accuracy and compliant motion. The proposed task-based compliance control approach provides a hierarchical strategy: gross motion planning and fine compliance motion planning. The gross motion planning involves the absolute and relative motion control on a macro scale, while the fine compliance motion planning deals with uncertainties by the compliance control to accomplish a task requiring high precision robustly. A theoretical modeling of the bottle screw task is presented within the proposed framework through the analysis of uncertainties and constraints. The experimental results show that the proposed framework is efficient and robust to operate a set of bottles.

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Section: A Task Formulation For Coordinated Motionmentioning

confidence: 99%

“…The bottle screw task is similar to precision peg-in-hole assembly, in which both the accurate position control and compliance force control are required [3], [4]. Traditionally, the robotic peg-in-hole assembly task is divided into two phases, i.e, the alignment phase and the insertion phase [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Task-Based Compliance Control for Bottle Screw Manipulation With a Dual-Arm Robot

Jiao

Zhang

et al. 2024

IEEE Trans. Ind. Electron.

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“…Multi-vision is developed based on monocular and binocular vision technologies and there are already cases of its application in assembly [ 45 , 46 ]. Multi-vision can achieve higher precision spatial positioning, but the calibration requirements are more complicated than monocular or binocular vision.…”

Section: Positioning Equipment and Algorithmsmentioning

confidence: 99%

A Review of Intelligent Assembly Technology of Small Electronic Equipment

Tian

Ding

Du³

et al. 2023

Micromachines

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Electronic equipment, including phased array radars, satellites, high-performance computers, etc., has been widely used in military and civilian fields. Its importance and significance are self-evident. Electronic equipment has many small components, various functions, and complex structures, making assembly an essential step in the manufacturing process of electronic equipment. In recent years, the traditional assembly methods have had difficulty meeting the increasingly complex assembly needs of military and civilian electronic equipment. With the rapid development of Industry 4.0, emerging intelligent assembly technology is replacing the original “semi-automatic” assembly technology. Aiming at the assembly requirements of small electronic equipment, we first evaluate the existing problems and technical difficulties. Then, we analyze the intelligent assembly technology of electronic equipment from three aspects: visual positioning, path and trajectory planning, and force–position coordination control technology. Further, we describe and summarize the research status and the application of the technology and discuss possible future research directions in the intelligent assembly technology of small electronic equipment.

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“…Then, it uses image processing technology to obtain coordinates of the central part of the image. The obtained coordinates are brought into the corresponding mathematical model and the measured value of the measured object can be calculated [ 11 , 12 , 13 ]. The extraction of extreme points in the central part of the image adopts a clustering algorithm.…”

Section: Introductionmentioning

confidence: 99%

Fisheye Image Detection of Trees Using Improved YOLOX for Tree Height Estimation

Song

Zhao

Song

et al. 2022

Sensors

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Tree height is an essential indicator in forestry research. This indicator is difficult to measure directly, as well as wind disturbance adds to the measurement difficulty. Therefore, tree height measurement has always been an issue that experts and scholars strive to improve. We propose a tree height measurement method based on tree fisheye images to improve the accuracy of tree height measurements. Our aim is to extract tree height extreme points in fisheye images by proposing an improved lightweight target detection network YOLOX-tiny. We added CBAM attention mechanism, transfer learning, and data enhancement methods to improve the recall rate, F1 score, AP, and other indicators of YOLOX-tiny. This study improves the detection performance of YOLOX-tiny. The use of deep learning can improve measurement efficiency while ensuring measurement accuracy and stability. The results showed that the highest relative error of tree measurements was 4.06% and the average relative error was 1.62%. The analysis showed that the method performed better at all stages than in previous studies.

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Automated Pose Measurement Method Based on Multivision and Sensor Collaboration for Slice Microdevice

Cited by 15 publications

References 17 publications

Task-Based Compliance Control for Bottle Screw Manipulation With a Dual-Arm Robot

Task-Based Compliance Control for Bottle Screw Manipulation With a Dual-Arm Robot

A Review of Intelligent Assembly Technology of Small Electronic Equipment

Fisheye Image Detection of Trees Using Improved YOLOX for Tree Height Estimation

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