Innovations and Future of Robotics

Agrawal, Ayush Kumar; Pidge, Pritam; Bharti, Manisha; Dev, Mayank; Kedare, Prashant Kaduba

doi:10.1007/978-981-15-8542-5_86

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Robotics has tremendous use in education and has helped improve daily life operations. Further advancement in miniaturization, automation, lightweight, and artificial intelligence technologies are at the forefront of current research for long-term usability [1][2]. Manufacturing robots as a pedagogical practice supports student learning in different entities of the engineering field.…”

Section: Introductionmentioning

confidence: 99%

Remote Teaching Robotics Design Project

Akintewe

2021 First-Year Engineering Experience Proceedings

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She is also an instructional faculty in the Department of Medical Engineering at USF. She received a B.E. degree in chemical engineering from City College of New York, CUNY, an M.Sc in materials science and engineering from the Ohio State University, and a Ph.D. in chemical engineering from the University of South Florida. Dr. Akintewe's research focuses on experiential learning in engineering education, evidence-based teaching practice, and engineering assessment models supporting students' learning, classroom management techniques, and retention.

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Section: Introductionmentioning

confidence: 99%

Remote Teaching Robotics Design Project

Akintewe

2021 First-Year Engineering Experience Proceedings

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An Optimized-LSTM and RGB-D Sensor-Based Human Gait Trajectory Generator for Bipedal Robot Walking

et al. 2022

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Dimensions and Hadoop of Big Data. A Review

Agrawal¹,

Verma²,

Kumar³

et al. 2023

Futuristic Projects in Energy and Automation Sectors: A Brief Review of New Technologies Driving Sustainable Development

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Big Data is a massive collection of data that continues to grow dramatically over time. It is a data set that is so huge and complicated that no standard data management technologies can effectively store or process it. Big data is similar to regular data, but it is much larger. There's no doubt that the volumes of data presently available are vast, but that's not the essential element of this new data ecosystem,” says one expert. The term big data is now commonly used to refer to the application of predictive analytics. New correlations can be discovered by analyzing data sets to identify economic trends, prevent diseases, combat crime, and so on.” In sectors such as Internet searches, financial technology, healthcare analytics, geographic information systems, urban informatics, and business informatics, scientists, corporate executives, medical practitioners, advertising, and governments all face challenges with enormous data sets.

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Innovations and Future of Robotics

Cited by 3 publications

References 18 publications

Remote Teaching Robotics Design Project

Remote Teaching Robotics Design Project

An Optimized-LSTM and RGB-D Sensor-Based Human Gait Trajectory Generator for Bipedal Robot Walking

Dimensions and Hadoop of Big Data. A Review

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