Page 9 - Robotics and AI class 10
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(iv) Controller for a Robotic System
Examples of control systems from daily life: regulation of fan, refrigerator, and air conditioner.
Control systems in robotics: Meaning, functions and working; differences between manual and automatic control
systems. Block diagrams to be used to illustrate (Input-controller-robot-feedback).
(v) Integrating Sensors, Actuators and Controller in a Robotic System
Illustration using a simple example: how angular position is measured by a position sensor of a robotic arm is controlled
by driving the revolute joint using a motor.
4. Visualisation, Design and Creation of Components
(i) Application of Mechanical Block of Robotics.
Visualise, design and create components of a robot.
Using Tinkercad to visualise, design, and create the components of a robot; the different types of joints: revolute and
prismatic, RR Mechanism.
(ii) Visualisation of motion.
Use of Tinkercad to visualise motion of the components designed.
5. Integrating Robots as a System
Building simple robotic systems, wheeled mobile robot, Single Board Computer Coding
Using Tinkercad to build simple robotics systems, for example, RR Mechanism. Building simple systems up to a mobile robot
with four wheels.
PART II
ARTIFICIAL INTELLIGENCE (AI)
Note: Key concepts of Class IX need to be revised as a prerequisite.
1. Decision making in Machines/ Computers
(i) Automated versus Autonomous Systems.
Concept of Automated versus Autonomous Systems for Deterministic versus Probabilistic versus.
(ii) Decision Making.
Human versus machine decision making as subjective and objective respectively; An understanding of object
classification by humans and computers/machines.
(iii) Machine Learning (ML).
A brief understanding of Machine Learning, role of data and information. Steps in machine learning. Importance of
programming and algorithms in teaching machines/computers in subjective decision making.
Example such as fruit sorting.
2. Machine Intelligence and Cybersecurity in Computing
(i) Machine Intelligence – Turing Test.
Human Intelligence vs Machine Intelligence; role of the Turing test in AI: a brief understanding only; connectivity
between human intelligence and machine intelligence.
(ii) Cybersecurity
A basic understanding of security and ethical issues such as the unauthorized use of hardware, theft of software,
disputed rights to products, the use of computers to commit fraud, the phenomenon of hacking and data theft,
sabotage in the form of viruses, responsibility for the reliability of output, making false claims for computers, and the
degradation of work.
3. Components of AI Project Framework
(i) Problem Scoping
Understanding of problem and finding out which factors affect the problem, defining the goal of the project. The 4 Ws:
Who, What, Where, Why. The Problem Statement .
(ii) Data Acquisition
Types of Data, Data Features, Data Sources, Training and Testing Data and System Maps. Importance of acquiring
relevant data from reliable sources.
(vii)

