Implementation of Pick &amp; Place Robotic Arm for Warehouse Products Management

Sobhan, Nazib; Shaikat, Abu Salman

doi:10.1109/icsima50015.2021.9526304

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…Similarly, there are still some shortcomings in this paper: (1) The intrusion detection method in this study is for specific application scenarios, and will be optimized for different application scenarios at a later stage; (2) All the methods and tests in this paper are based on experimental environments, and it is necessary to test them in real industrial operating environments; (3) The operation of the robotic arm is a dynamic process, and the analysis of the dynamics will be added in a later study to improve the accuracy of intrusion detection.…”

Section: Discussionmentioning

confidence: 94%

“…cs is used to represent each state, S is used to represent the state collection, and SDS is used to represent the state scheduling collection, where S contains all the running states and the SDS state scheduling collection contains all the normal state scheduling. For example, cs [1] → cs [2] means transferring from state 1 to state 2, which conforms to the physical process logic. If cs [3] → cs [1] means jumping from state 3 to state 1, which does not conform to the physical process logic, this state scheduling does not exist in SDS.…”

Section: Intrusion Detection and Response Mechanismmentioning

confidence: 98%

“…For example, cs [1] → cs [2] means transferring from state 1 to state 2, which conforms to the physical process logic. If cs [3] → cs [1] means jumping from state 3 to state 1, which does not conform to the physical process logic, this state scheduling does not exist in SDS. The expressions of cs and S are as follows:…”

Section: Intrusion Detection and Response Mechanismmentioning

confidence: 98%

“…With the rapid development of various fields such as network technology, communication technology, hardware and manufacturing, mankind has ushered in the fourth industrial revolution, and we are already enjoying its fruits. In particular, automation is the key development direction of industrial manufacturing, involving a number of areas such as robotics, the Internet of Things and artificial intelligence [1]. Among them, the robot is an indispensable piece of equipment in the entire link; through their study, it can be found that the manufacturing industry has become more and more intelligent in recent years, and the industrial robotic arm has played an irreplaceable role in this process.…”

Section: Introductionmentioning

confidence: 99%

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Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms

2022

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The automation and intelligence of industrial manufacturing is the core of the fourth industrial revolution, and robotic arms and proprietary networked information systems are an integral part of this vision. However, with the benefits come risks that have been overlooked, and robotic arms have become a heavily attacked area. In order to improve the security of the robotic arm system, this paper proposes an intrusion detection method based on a state classification model. The closure operation process of the robotic arm is divided into five consecutive states, while a support vector machine based on the particle swarm optimization algorithm (PSO-H-SVM) classifies the operation state of the robotic arm. In the detection process, the classifier predicts the operation state of the robotic arm in real time, and the detection method determines whether the state transfer meets the logical requirements, and then determines whether the intrusion occurs. In addition, a response mechanism is proposed on the basis of the intrusion detection system to make protection measures for the robotic arm system. Finally, a physical experiment platform was built to test the intrusion detection method. The results showed that the classification accuracy of the PSO-H-SVM algorithm reached 96.02%, and the detection accuracy of the intrusion detection method reached 90%, which verified the effectiveness and reliability of the intrusion detection method.

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Section: Discussionmentioning

confidence: 94%

Section: Intrusion Detection and Response Mechanismmentioning

confidence: 98%

Section: Intrusion Detection and Response Mechanismmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms

2022

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“…A robotic arm is a sort of mechanical arm that performs tasks akin to those of a human arm and is typically programmable. To complete jobs, robotic arms are used in a variety of sizes and configurations [8]. This project's main objective is to support physically disabled people in their daily lives.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Smart Prosthetic Hand

Manjunath¹

2023

IJETMS

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An overview of the design and use of a Smart Prosthetic Hand is provided in this study. This study presents an overview of computational methods for brain, gesture, and voice signals to operate a robotic arm. There are several hundred million neurons in the human brain. A prosthetic arm powered by a Brain-Computer Interface (BCI) based on electroencephalograms (EEG) is a non-invasive approach that can be a powerful aid for persons with severe disabilities in their daily lives, particularly to let them use their arm voluntarily. The brain’s EEG data is recorded by the Brainsense headset and processed by a microprocessor to move the prosthetic hand via controlling servo motors. Additionally, a glove controller that replicates the gestures is used. The method entails using flex sensors to control the arm's movements. The voice control system was created so that voice commands could be sent through Bluetooth to control prosthetic arms. With the aid of a microcontroller, all actions can be monitored by a user interface. This prosthetic arm can help patients who have amputees below the elbow. This essay's main objective is to enable people with physical disabilities to become less dependent on others for their everyday needs. This model would be very helpful in both the real world, especially for those with disabilities who are unable to use their hands, and in the classroom when employed by college students pursuing robotics as a subject. The work given here is a mini-project that is taken up as a part of the curriculum completed by electronics and communication engineering students in the second year of the electronics & communication engineering department at Dayananda Sagar College of Engineering in Bangalore.

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