Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing

Chen, Jiakai; Xie, Fugui; Liu, Xin-Jun; Bi, Weiyao

doi:10.1115/1.4050683

Cited by 23 publications

(6 citation statements)

References 31 publications

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“…In the process of image data processing, the computer imagebased robot picking robot includes a location information system and a guidance information system: location information robot. To reach the selected target, each actuator moves to a location near the selected target to connect with the selected target; personal information is often used to provide image information such as environmental information, location information about target selection, initial selection control, final effector and driver control, and final control and other functional materials [23].…”

Section: Design Of Picking Robot Information Processing Processmentioning

confidence: 99%

Robot Structural Optimization Based on Computer Intelligent Image

Zhao¹

2022

Wireless Communications and Mobile Computing

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In order to solve the problems of low degree of automation, difficult identification of picking objects, and large picking damage in traditional fruit and vegetable picking operations, the author proposes a robot structure optimization method based on computer intelligent images. This method introduces the computer imaging technology, examines the principle of imaging the computer imaging technology as the in-depth study of the computer imaging technology, completes the mechanical design of the selected robot, and optimizes all hardware models of choice robot. At the same time, the computer image acquisition system, image acquisition module, and execution module are designed; finally, the computer image information processing flow design of the picking robot is completed, and the simulation experiment of the picking robot is carried out. Experimental results show that in the experiments with 166, 142, and 165 tomato identification numbers, the identification accuracy rates were all over 96%. Conclusion. The picking robot based on computer images has a simple structure, high recognition accuracy of picking targets, less damage to the picking targets, high safety and stability, and great promotion value.

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Section: Design Of Picking Robot Information Processing Processmentioning

confidence: 99%

Robot Structural Optimization Based on Computer Intelligent Image

Zhao¹

2022

Wireless Communications and Mobile Computing

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“…It consists of two serially connected parallel manipulators: one for adsorption and the other for 5-axis machining. With systematic stiffness evaluation and optimization, the robot is promising for achieving efficient and economical processing of large-scale structural parts [ 52 ].…”

Section: Definition Of Climbing Manufacturing Robotsmentioning

confidence: 99%

Climbing robots for manufacturing

Tao

Gong

Ding

2023

National Science Review

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Robotized intelligent manufacturing is a growing trend in the manufacturing of large and complex components in aviation, aerospace, marine engineering and other industries. With their expansive workspaces and flexible deployment, climbing manufacturing robots can create a revolutionary manufacturing paradigm for large and complex components. This paper defines the climbing manufacturing robot based on the application status of climbing robots and then analyses four key technical requirements: adhesion, locomotion, localisation and control. Subsequently, the current research status of climbing robots in these four areas is classified and reviewed, along with a clarification of the research frontiers and trends in each area, and the applicability of the relevant research to manufacturing-oriented climbing robotic systems is analysed. Finally, by concluding the development trends of robotized intelligent manufacturing equipment in terms of manufacturing dimension and scale, environmental adaptability and cluster collaboration capability, we clarify the major challenges for climbing manufacturing robots in terms of adhesion principles, motion mechanisms, positioning technology and control methods, and propose future research directions in these fields.

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“…Piezoelectric-actuated compliant mechanisms are commonly employed for the precision motion generation. This kind of nanopositioning systems are free of the undesired friction and backlash encountered in conventional mechanisms [7][8][9]. Although piezoelectric nanopositioning systems have the advantages of high resolution and fast response, they also suffer from the drawback of small motion stroke.…”

Section: Introductionmentioning

confidence: 99%

Development of a novel monolithic compliant Lorentz-force-driven XY nanopositioning system

Yang,

Liu,

Zhu

et al. 2024

J. Micromech. Microeng.

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A novel monolithic compliant Lorentz-force-driven XY nanopositioning system (MCLNS) is designed, analyzed, and experimentally assessed with the aim of high-resolution positioning across a large workspace. A double-symmetric Lorentz-force actuator (DSLA) with the benefits of zero friction, high thrust, and large stroke is proposed to generate the actuation force. Correspondingly, a monolithic four-prismatic parallel compliant mechanism (4P-PCM) is exploited to transmit the actuation motion to the central platform and minimize the parasitic motion. The unique integration of four DSLAs and one 4P-PCM make the proposed MCLNS possess compact structure and stable performance. The characterization of the MCLNS is formulated by a specially established analytical model and validated by finite-element analysis simulation and experimental tests. Experimental studies show that the workspace of the MCLNS prototype is large than 0.87 × 0.87 mm2 and the positioning resolution of the MCLNS prototype is better than 9 nm. By means of a nonlinear forward proportional integral derivative control strategy, the maximum contouring error of the MCLNS is maintained within 2.7% while tracking a 1257 μm s−1 circular trajectory.

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Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing

Cited by 23 publications

References 31 publications

Robot Structural Optimization Based on Computer Intelligent Image

Robot Structural Optimization Based on Computer Intelligent Image

Climbing robots for manufacturing

Development of a novel monolithic compliant Lorentz-force-driven XY nanopositioning system

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