Robotics and AI Book for Class 10 (Edition 2) With Practical Activities for Hands-on Experience for Academic year 2025-26 - ICSE Subject Code 66
Author | : Pankaj Kumar Verma |
Publisher | : STEMpedia |
Total Pages | : 70 |
Release | : 2024-11-01 |
ISBN-10 | : 9788198258045 |
ISBN-13 | : 8198258043 |
Rating | : 4/5 (043 Downloads) |
Download or read book Robotics and AI Book for Class 10 (Edition 2) With Practical Activities for Hands-on Experience for Academic year 2025-26 - ICSE Subject Code 66 written by Pankaj Kumar Verma and published by STEMpedia. This book was released on 2024-11-01 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVERS NEW AGE ROBOTIC SYSTEMS: Explores the evolution and modern impact of New Age Robotic Systems (NARS), differentiating them from traditional robotics. Examines the role of robots in logistics and supply chain management, with future trends in warehouse automation. Discusses assistant robots in daily life, including ethical aspects and human-robot interaction. Explores the use of robotics in agriculture, construction, and other industries, including modern elevator systems. COMPONENTS OF ROBOT AS A SYSTEM: Introduces gears in robotics, their role in force transmission, and practical applications. Examines common sensors in robotics, their classification, and functions. Discusses the concept and types of actuators in robotics and their real-life applications. Explores control systems in robotics, comparing manual and automatic systems. Details the integration process of sensors, actuators, and controllers in robotic systems. VISUALIZATION, DESIGN AND CREATION OF COMPONENTS: Introduces the Quarky Ultimate Kit, its components, and programming features. Describes each part of the Quarky Robot and its programming logic. Highlights the features of TinkerCAD and provides tutorials for its use. INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Automated versus Autonomous Systems: Explores the roles of automated and autonomous systems in technology, including deterministic and probabilistic systems. Decision Making in Machines: Compares human and machine decision-making features, including object classification case studies. Introduction to Machine Learning (ML): Covers machine learning basics, data’s role, and practical applications like fruit sorting in PictoBlox. MACHINE INTELLIGENCE AND CYBERSECURITY IN COMPUTING: Introduces machine intelligence, contrasting it with human intelligence. Discusses the significance, criteria, and implications of the Turing Test in AI development. Explores the collaborative potential, future prospects, and challenges in human-machine intelligence connectivity. Addresses ethical and security issues in computing, cyber threats, countermeasures, and cybersecurity best practices. INTRODUCTION TO DATA AND PROGRAMMING WITH PYTHON Introduces PictoBlox Python Interface, offering an engaging platform for students to learn Python programming. Covers the basics of Python, including syntax, data types, operators, and looping, with practical examples. Teaches the installation and use of essential Python packages in PictoBlox, like NumPy, Matplotlib, Pandas, and SciPy. Discuss Lists, tuples, and strings in python.