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Robots in action

Robots in action

Abstract

Technological advances, such as artificial intelligence, machine learning, and computer vision, enable mobile robots to perform increasingly complex tasks in a wide range of industries. When we refer to mobile robots, we mean physical robots capable of locomotion. Mobile robots can move around in their environment and are not fixed to one location. Mobile robots can be "autonomous", meaning they can navigate an uncontrolled environment without needing physical or electro-mechanical guidance devices. Alternatively, mobile robots can use guidance devices to travel a predefined navigation route in relatively controlled space. Robots are used in manufacturing, healthcare, transportation, agriculture, and space exploration. In addition, they can be used to perform repetitive tasks, handle hazardous materials, assist with surgeries, and even help people with disabilities to perform everyday tasks. As technology continues to improve, we can expect to see even more innovative and practical robotics applications in the future. The possibilities are virtually limitless, from self-driving cars to humanoid robots that can interact with people in natural ways. This book results from a project designed to develop a low-cost robot for teaching and learning the STEM areas: Science, Technology, Engineering, and Mathematics. The project developed a low-cost mobile robot aimed at children and adolescents from 10 to 13 years of age, designed to work as an interdisciplinary teaching tool that can be applied directly to a curriculum, promoting students' technical skills and allowing them to develop new skills like Computational Thinking and Problem Solving, driven by the motivation created by a Robotics Competition.

Country
Portugal
Related Organizations
Keywords

Artificial Intelligent, Problem solving, Programming, STEM, Robots, Critical thinking

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green