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Robotics Goes MOOC: Knowledge by Bruno Siciliano

• Robotics Goes MOOC: Knowledge
• Bruno Siciliano
• Page: 285
• Format: pdf, ePub, mobi, fb2
• ISBN: 9783319740942
• Publisher: Springer Nature Switzerland

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The robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots. To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future. The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 byBeetz et al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.

Robotics Goes MOOC - Siciliano, Bruno - Ebook in inglese - IBS
Robotics Goes MOOC è un eBook in inglese a cura di Siciliano, Bruno pubblicato da Springer a 70.19. Il file è in formato EPUB3 con Adobe DRM: risparmia .
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B. Siciliano, Robotics Goes MOOC: Design, Springer Nature, Cham, Switzerland, 2024. B. Siciliano, Robotics Goes MOOC: Knowledge, Springer Nature .
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Modern Robotics (Specialization), 26 . Check out the readings for classic books you can read that will sharpen your skills and expand your knowledge.
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As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over .
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Knowledge is power. And this a symbol of what we have . Robotics & Robots si affianca alla collana di quattro volumi "Robotics Goes MOOC .
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Knowledge Representation and Reasoning. June 2025. DOI:10.1007/978-3-319-74095-9_7. In book: Robotics Goes MOOC (pp.209-253). Authors:.
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It has virtually everything you'll need to get started with understanding how SLAM works (note - Python is used as the programming language).
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Every use of any platform should gather and apply the knowledge of the previous domains. book [16]. In the Valenciennes Institute of Technology ten .
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The books ROBOTICS GOES MOOC dedicated to Design, Knowledge, Interaction, and Impact are a reference publication in the field, bringing .
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As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This .

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