Exciting news! Our team has just published a new article titled "Robotics in Search and Rescue (SAR) Operations: An Ethical and Design Perspective Framework for Response Phase" in the journal of Applied Sciences. I am grateful to all my co-authors for their incredible contributions!
Every year, especially in urban areas, the population density rises quickly. The effects of catastrophes (i.e., war, earthquake, fire, tsunami) on people are therefore significant and grave. Assisting the impacted people will soon involve human-robot Search and Rescue (SAR) operations. Therefore, it is crucial to connect contemporary technology (i.e., robots and cognitive approaches) to SAR to save human lives. However, these operations also call for careful consideration of several factors, including safety, severity, and resources. Hence, ethical issues with technologies in SAR must be taken into consideration at the development stage. In this study, the most relevant ethical and design issues that arise when using robotic and cognitive technology in SAR are discussed with a focus on the response phase. Among the vast variety of SAR robots that are available nowadays, snake robots have shown huge potential; as they could be fitted with sensors and used for transporting tools to hazardous or confined areas that other robots and humans are unable to access. With this perspective, particular emphasis has been put on snake robotics in this study by considering ethical and design issues. This endeavour will contribute to providing a broader knowledge of ethical and technological factors that must be taken into account throughout the design and development of snake robots.
Do check it out: https://www.mdpi.com/2076-3417/13/3/1800
Exciting news! Our team has just published a new article titled "Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems" in the journal of Applied Sciences. I am grateful to all my co-authors for their incredible contributions!
In this study, the authors propose an improved reptile search algorithm (IRSA) that solves the drawbacks of the original RSA, including sluggish convergence speed, high computational complexity, and local minima trapping. A number of test functions were used to evaluate the IRSA, and it was found to have quick convergence, low time complexity, and effective global search. Additionally, we used the IRSA to train hyperparameters for a multi-layer perceptron neural network and a radial basis function neural network and achieved superior classification and prediction capabilities. Do check it out: https://www.mdpi.com/2076-3417/13/2/945
Our team has exciting news to share today! The following article was proudly presented at the 56th Hawaii International Conference on System Sciences by the authors:
I am especially proud of my PhD Fellow Even Falkenberg Langs, who gave a fantastic presentation and got the audience engaged in a fruitful conversation. Given that the employment of digital twins may significantly increase the performance and efficiency of these systems, this research is especially pertinent for those working in the domains of robotics and automation.
I appreciate the effort and input of each and every one of my co-authors on this work. We are ecstatic about the chance to present our research and observations on the usage of digital twins in edge computing for commercial applications. We anticipate that this effort will encourage innovation and advancement in these crucial domains. HICSS2023 #digitaltwins #edgecomputing #industrialapplications #robotics #automation