scholarly journals Intelligent Robotic Palletizer System

2021 ◽  
Vol 11 (24) ◽  
pp. 12159
Author(s):  
Jeng-Dao Lee ◽  
Chen-Huan Chang ◽  
En-Shuo Cheng ◽  
Chia-Chen Kuo ◽  
Chia-Ying Hsieh
Keyword(s):  
Real Time ◽  
Vision System ◽  
Robotic Arm ◽  
Detection Mechanism ◽  
Robotic Arms ◽  
Extra Time ◽  
Cloud Database ◽  
Staggered Arrangement ◽  
Personnel Safety ◽  
System Information

In the global wave of automation, logistics and manufacturing are indispensable and important industries. Among them, the related automatic warehousing system is even more urgently needed. There are quite a few cases of using robotic arms in the current industry cargo stacking operations. Traditional operations require engineers to plan the stacking path for the robotic arm. If the size of the object changes, it will take extra time to re-plan the work path. Therefore, in recent years, quite a lot of automatic palletizing software has been developed; however, none of it has a detection mechanism for stacking correctness and personnel safety. As a result, in this research, an intelligent robotic palletizer system is developed based on a self-developed symmetrical algorithm to stack the goods in a staggered arrangement to ensure the overall structure. Innovatively, it is proposed to check the arrangement status and warnings during the visual stack inspection to ensure the correctness of the stacking process. Besides, an AI algorithm is imported to ensure that personnel cannot enter the set dangerous area during the work of the robotic arm to improve safety during stacking. In addition to uploading the relevant data to the cloud database in real time, the stacking process combined database and vision system also provide users with real-time monitoring of system information.

Design of a Dexterous Robotic Arm Manipulator Using Hybrid BCI

2020 ◽  
Author(s):  
Daniel A. Medina Portilla ◽  
Vidya K. Nandikolla
Keyword(s):  
Point Cloud ◽  
Vision System ◽  
Operation Mode ◽  
Robotic Arm ◽  
Robotic Arms ◽  
Software Interface ◽  
Autonomous Operation ◽  
Dexterous Hand ◽  
Robotic Applications ◽  
Bci System

Abstract The paper describes the design of a hybrid Brain Computer Interface (BCI) system that provides control commands to manipulate a robotic arm. The goal is to facilitate BCI controlled real-time robotic applications by using a semi-autonomous operation mode that accepts multiple commands. Simple tasks, like moving forward or turning, are executed based on a single BCI command while more complicated tasks, like grabbing or pushing an object are automated once the task is selected. The robotic arm vision system uses an Intel RealSense D435 camera for image and depth perception where a point cloud generates an interface for the user to select an object. The user selects an object to manipulate, which identifies the goal position and location. After the location and object is determined, the software interface moves the robotic arm to have the selected object in the robotic arms’ workspace. The current robotic arm design utilizes an open bionics Brunel dexterous hand as the end effector which allows for human-like hand actions. A simulation platform is developed to verify the effect of the entire system of a dexterous robotic arm on a mobile platform. The system design and results using a hybrid BCI system is demonstrated.

scholarly journals Telemanipulation of an Articulated Robotic Arm using a Commercial Virtual Reality Controller

2020 ◽  
Vol 6 (3) ◽  
pp. 127-130
Author(s):  
Max B. Schäfer ◽  
Kent W. Stewart ◽  
Nico Lösch ◽  
Peter P. Pott
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Robotic Arm ◽  
Input Device ◽  
Robot Assisted ◽  
Promising Alternative ◽  
Input Devices ◽  
Current Input ◽  
Current Systems ◽  
Robot Assisted Surgery

AbstractAccess to systems for robot-assisted surgery is limited due to high costs. To enable widespread use, numerous issues have to be addressed to improve and/or simplify their components. Current systems commonly use universal linkage-based input devices, and only a few applicationoriented and specialized designs are used. A versatile virtual reality controller is proposed as an alternative input device for the control of a seven degree of freedom articulated robotic arm. The real-time capabilities of the setup, replicating a system for robot-assisted teleoperated surgery, are investigated to assess suitability. Image-based assessment showed a considerable system latency of 81.7 ± 27.7 ms. However, due to its versatility, the virtual reality controller is a promising alternative to current input devices for research around medical telemanipulation systems.

scholarly journals Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction

2021 ◽  
Author(s):  
Giuseppe Placidi ◽  
Danilo Avola ◽  
Luigi Cinque ◽  
Matteo Polsinelli ◽  
Eleni Theodoridou ◽  
...  
Keyword(s):  
Data Integration ◽  
Real Time ◽  
Vision System ◽  
Hand Tracking ◽  
Selection Strategy ◽  
Motion Sensors ◽  
Leap Motion ◽  
Time Data ◽  
Lower Velocity ◽  
Human System

AbstractVirtual Glove (VG) is a low-cost computer vision system that utilizes two orthogonal LEAP motion sensors to provide detailed 4D hand tracking in real–time. VG can find many applications in the field of human-system interaction, such as remote control of machines or tele-rehabilitation. An innovative and efficient data-integration strategy, based on the velocity calculation, for selecting data from one of the LEAPs at each time, is proposed for VG. The position of each joint of the hand model, when obscured to a LEAP, is guessed and tends to flicker. Since VG uses two LEAP sensors, two spatial representations are available each moment for each joint: the method consists of the selection of the one with the lower velocity at each time instant. Choosing the smoother trajectory leads to VG stabilization and precision optimization, reduces occlusions (parts of the hand or handling objects obscuring other hand parts) and/or, when both sensors are seeing the same joint, reduces the number of outliers produced by hardware instabilities. The strategy is experimentally evaluated, in terms of reduction of outliers with respect to a previously used data selection strategy on VG, and results are reported and discussed. In the future, an objective test set has to be imagined, designed, and realized, also with the help of an external precise positioning equipment, to allow also quantitative and objective evaluation of the gain in precision and, maybe, of the intrinsic limitations of the proposed strategy. Moreover, advanced Artificial Intelligence-based (AI-based) real-time data integration strategies, specific for VG, will be designed and tested on the resulting dataset.

scholarly journals A real-time machine-vision system for monitoring the textile raising process

2005 ◽  
Vol 56 (8-9) ◽  
pp. 831-842 ◽  
Author(s):  
Monica Carfagni ◽  
Rocco Furferi ◽  
Lapo Governi
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Vision System ◽  
Machine Vision System ◽  
Time Machine

VCS-IV: A real-time vision system using a digital vision chip

2006 ◽  
Vol 89 (6) ◽  
pp. 34-43 ◽  
Author(s):  
Shingo Kagami ◽  
Takashi Komuro ◽  
Yoshihiro Watanabe ◽  
Masatoshi Ishikawa
Keyword(s):  
Real Time ◽  
Vision System ◽  
Vision Chip
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