Abdullah Aamir Hayat on Muck Rack

Abdullah Aamir Hayat

Singapore
As seen in: MDPI
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Articles

Deep Learning Based Fall Recognition and Forecasting for Reconfigurable Stair-Accessing Service Robots

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By Abdullah Aamir Hayat, Braulio Gómez, Mohan Rajesh Elara, Jun Hua Ong
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Sensitivity Analysis, Synthesis and Gait Classification of Reconfigurable Klann Legged Mechanism

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By Abdullah Aamir Hayat, Rajesh Kannan Megalingam, Devisetty Vijay Kumar, Gaurav Rudravaram
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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A Deep Reinforcement Learning Approach to Optimal Morphologies Generation in Reconfigurable Tiling Robots

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By Manivannan Kalimuthu, Abdullah Aamir Hayat, Thejus Pathmakumar, Mohan Rajesh Elara
| MDPI
1. Introduction Reconfigurable robotic systems have gained significant attention due to their versatility and potential applications in a variety of domains. A notable framework for the taxonomy and evaluation of self-reconfigurable robotic systems is introduced in [1]. In recent years, considerable progress has been made in the exploration of advanced control methods, autonomy, and complex mechanisms for reconfigurable robots. For example, Refs.
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