AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature

Donepudi, Praveen Kumar

doi:10.18034/abcjar.v7i2.514

Cited by 31 publications

(29 citation statements)

References 4 publications

(5 reference statements)

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“…Whenever human involves in object handling behavior, the interaction mainly involves a feedback loop between experience and action. As they manipulate tasks, like extracting any single thing from a targeted bin, can be executed by continuous sensing such as touch and feel (Donepudi, 2018). It gives them a path to do that task more rapidly afterwards.…”

Section: Methodsmentioning

confidence: 99%

“…Our job involves neither learning nor meshing nor running on cloud input data directly. The authors (Donepudi, 2018) intend to capture household objects with an assistive robot that does not rely on object modelling and senses a single overhead grip in objects' clouds. A top view of the target (caught with a laser scanner) is the solution and the user will show which object using a laser pointer.…”

Section: Literature Reviewmentioning

confidence: 99%

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Reinforcement Learning for Robotic Grasping and Manipulation: A Review

Donepudi¹

2020

Asia Pac. j. energy environ.

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A century of robots is the 21st century. The robots have long been able to cross the divide between the virtual universe and the real world. Robotics, as the most successful contender in the upcoming great technological revolution, will play an ever more important role in society because of the impact it has in every field of life, including medicine, healthcare, architecture, manufacturing and food supplies, logistics and transport. This document introduces a modern approach to the grasp of robots, which draws grasp techniques from the human demonstration and combines these strategies into a grasp-planning framework, in order to produce a viable insight into the objective geometry and manipulation tasks of the object. Our study findings show that grasping strategies of the form of grasp and thumbs positioning are not only necessary for human grasp but also significant restrictions on posture and wrist posture which greatly reduce both the robot hand's workplace and the search space for grasp planning. In the simulation and with a true robotic system this method has been extensively tested for several everyday living representative objects. In the experiment with varying degrees of perceiving in certainties, we have demonstrated the power of our method.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Reinforcement Learning for Robotic Grasping and Manipulation: A Review

Donepudi¹

2020

Asia Pac. j. energy environ.

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“…In regards to future consideration for Chloe, the store aims to use it to simply the complicated customer needs, by simply selling products locked behind glasses. While these are just a few examples of robots operating in the local stores, it is clear that in the future, Volume 9, No 2/2020 | GDEB there will be typical robotic retail applications (Donepudi, 2018). Also, these developing technologies in robot automation will have a significant impact on profit margins and productivity.…”

Section: Robotics In Local Storesmentioning

confidence: 99%

Robots in Retail Marketing: A Timely Opportunity

Donepudi¹

2020

Glob. discl. econ. bus.

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Change is indeed inevitable. In a world full of technological advancements there has been a change in retail marketing on how they conduct business. This has prompted a fast pace of automation and artificial intelligence (AI) as strategies that can be used to propel and reshape most business models. Machine intelligence is now more powerful, and it is changing the lives of people everywhere around the world. One such machine intelligence is the robot, which is almost being implemented on a daily basis to form part of the retail marketing solution. Hence, it is important to critically analyze the significance of robots in retail stores and how the same can be used to change the current status quo into a new business model. In answering the research questions, this research will adopt both secondary and primary data methods that will ensure that robust information is collected to meet the objectives of the study. Analysis of data revealed that change is inevitable in the retail industry, and it ought to be embraced in phases. The conclusion also revealed that robots have had both positive and negative impacts on the local stores. The idea of robots taking over various jobs in the industries may not be a good idea, but they have proved to be efficient and reliable.

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“…Most developers have tried to make coins to follow in the footsteps of Bitcoin. Some solve particular problems associated with Bitcoin use (Donepudi, 2018). Over four thousand altcoins exist.…”

Section: Altcoinmentioning

confidence: 99%

Artificial Intelligence Driven Crypto Currencies

Ganapathy

Redwanuzzaman

Rahaman

et al. 2020

Glob. discl. econ. bus.

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Artificial intelligence-driven cryptocurrencies are cryptocurrencies created by Artificial intelligence using the traditional human cryptocurrency development framework without human intervention. An AI explores the data from each different stream and arriving at the framework which can host these cryptocurrencies following the standards of legality. Cryptography is the encryption of specific data to conceal it and keep it a secret from unwanted third parties. Cryptocurrencies are encrypted currencies with unique keys as developed by developers. Artificial intelligence is an advanced machine programmed to simulate and emulate human intelligence by carrying tasks and reaching conclusions with little or no human intervention. This work considered the use of AI through machine learning and deep learning in the development of cryptocurrencies. The AI machine will set all the parameters and structure of the cryptocurrency. This will include how data is added, removed, and verified on the stream. Blockchain is an open ledger of a cryptocurrency's transactions. It stores files in the system, arranged in blocks, and connected on a list called chains. The article considers how AI-driven cryptocurrency will run using the blockchain network and its impact on it. Artificial intelligence and cryptocurrency are technological very essential technological development currently. The effect of the combination of both technologies would be enormous in the future as both technologies will develop each other remarkably.

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AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature

Cited by 31 publications

References 4 publications

Reinforcement Learning for Robotic Grasping and Manipulation: A Review

Reinforcement Learning for Robotic Grasping and Manipulation: A Review

Robots in Retail Marketing: A Timely Opportunity

Artificial Intelligence Driven Crypto Currencies

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