CISCE Board Class 10 Robotics and Artificial Intelligence

  • ICSE Class 10 Robotics and Artificial Intelligence Syllabus – You should refer CISCE Board Class 10 Syllabus for Robotics and Artificial Intelligence as prescribed by the Council for the Indian School Certificate Examinations.
  • ICSE Class 10 Robotics and Artificial Intelligence Textbook PDF – Moreover, you need to read the topics from CISCE Board Textbook for Class 10th Robotics and Artificial Intelligence.
  • ICSE Class 10 Solutions for Robotics and Artificial Intelligence – While solving the Robotics and Artificial Intelligence book, if you find any question difficult, then you can use the CISCE Board Solutions.
  • ICSE Class 10 Robotics and Artificial Intelligence Question Papers – After completing Robotics and Artificial Intelligence curriculum, solve CISCE board Class 10 previous year question papers to get an idea of what to expect in the exam.

ICSE SPECIMEN PAPER SOLUTION

Question 1

i)                (b) Warehouse

ii)              (d) Weather forecast

iii)            (b) Cobots work collaboratively with humans

iv)            (a) True

v)              (c) Controller

vi)            (c) To convert electrical signals into physical movement

vii)          (b) #

viii)        (b) Vision Sensor

ix)            (a) a*b

x)              (c) Single-board computers are used to control the operations of a robotic system.

xi)            (b) To provide examples for machine learning and predictions.

xii)          (a) Actuator

xiii)         (b) It evaluates a machine's intelligence.

xiv)         (b) To protect data from unauthorised access

xv)           (a) Both A and R are true, and R is the correct explanation of A

xvi)         (c) Who, What, Where, Why

xvii)       (c) Pie chart

xviii)     (b) "ello"

xix)         (b) Integrated Development and Learning Environment.

xx)           (c) Access elements

 

 

Question 2

(i) Features of Smart Home Robotic Systems:

  • Automation & AI Integration: Smart robots automate household tasks like cleaning, security, and climate control using AI.
  • IoT Connectivity: They connect with smart home devices, allowing remote control via apps or voice commands.
  • Adaptive Learning: AI-powered robots learn user preferences over time for improved efficiency.
  • Security & Surveillance: Smart robots enhance home security with motion detection and facial recognition.
  • Energy Efficiency: They optimize energy consumption by adjusting lighting, heating, and appliances based on usage.

(ii) Two Benefits of Using Cobots in Manufacturing:

  1. Increased Productivity: Cobots handle repetitive tasks, allowing human workers to focus on complex tasks, leading to faster production.
  2. Enhanced Safety: Cobots are designed with sensors and AI to work alongside humans safely, reducing workplace injuries.

(iii) Role of Gears in Robotic Systems:
Gears in robots control movement and torque by transferring and modifying mechanical power. They allow precise control of speed, direction, and force, enabling smooth and efficient robotic motion.

(iv) Difference Between Data and Information:

  • Data: Raw, unprocessed facts and figures (e.g., numbers, symbols, or text).
  • Information: Processed data that has meaning and context (e.g., a report summarizing sales trends).

(v) Steps Involved in Machine Learning:

  1. Problem Definition: Identify the problem to be solved.
  2. Data Collection: Gather relevant data for training.
  3. Data Preprocessing: Clean, normalize, and prepare data.
  4. Model Selection: Choose an appropriate machine learning algorithm.
  5. Training the Model: Use training data to teach the model.
  6. Evaluation: Assess model accuracy using test data.
  7. Deployment & Monitoring: Implement the model in real-world scenarios and refine it over time.

(vi) Turing Test and Its Role in AI:
The Turing Test, proposed by Alan Turing, evaluates a machine’s ability to exhibit human-like intelligence. If a machine can engage in conversation indistinguishably from a human, it is considered to have passed the test. This test assesses AI's natural language processing and cognitive capabilities.

(vii) Problem Scoping in AI Projects:
Problem scoping involves defining the problem that an AI system will solve. It includes identifying stakeholders, understanding the problem context, collecting relevant data, and setting clear objectives to ensure the AI model aligns with real-world needs.

(viii) The number is 40

 

(ix) 3

 

(x) “Programming”

Question 3

(i) How Assistant Robots in Healthcare Improve Patient Care (with Examples):

  • Enhanced Patient Monitoring: Robots equipped with AI can monitor vital signs, alerting doctors in case of abnormalities (e.g., Moxi – a robot assisting nurses by delivering medical supplies).
  • Improved Elderly Care: Robots provide companionship, medication reminders, and emergency assistance for elderly patients (e.g., Pepper – an interactive robot that assists in elderly care homes).

(ii) Differences Between Subjective and Objective Decision-Making:

Aspect

Subjective Decision-Making (Humans)

Objective Decision-Making (Machines)

Basis

Personal experience, emotions, and biases

Data-driven analysis and logic

Consistency

Varies among individuals

Always consistent with given data

Adaptability

Flexible, can consider abstract factors

Limited to programmed parameters

Errors

Prone to biases and misjudgement

Errors occur due to data inaccuracies or model flaws

(iii) Python Program to Plot a Bar Chart using Matplotlib:

import matplotlib.pyplot as plt 

 

# Define categories and values 

categories = ['A', 'B', 'C', 'D', 'E'] 

values = [10, 15, 7, 20, 13] 

 

# Create a bar chart 

plt.bar(categories, values) 

 

# Add labels and title 

plt.xlabel('Categories') 

plt.ylabel('Values') 

plt.title('Sample Bar Chart') 

 

# Show the plot 

plt.show()

Question 4

(i) Key Differences Between Traditional Industrial Robots and Cobots:

Feature

Traditional Industrial Robots

Cobots (Collaborative Robots)

Work Environment

Operate in isolated areas away from humans

Designed to work alongside humans

Safety Measures

Require safety barriers to prevent accidents

Built-in sensors & AI ensure safe collaboration

Flexibility

Programmed for fixed, repetitive tasks

Adaptable to various tasks with easy reprogramming

Cost & Implementation

High cost and complex setup

More affordable and easier to integrate

Programming Complexity

Requires expert programming

User-friendly and can be trained by workers

Why Cobots Are More Suitable for Collaborative Tasks:

  • Safety Features: Cobots have sensors, force-limiting mechanisms, and AI to detect human presence and prevent injuries.
  • Ease of Use: Unlike traditional robots, cobots can be quickly reprogrammed for different tasks.
  • Increased Efficiency: Humans handle complex decision-making while cobots manage repetitive tasks, improving productivity.
  • Space-Saving: Cobots work in close proximity to humans, eliminating the need for large protective enclosures.

(ii) Steps in a Machine Learning Project (Example: Fruit Sorting):

  1. Problem Definition:
    • The goal is to classify fruits based on size, color, and shape.
  2. Data Collection:
    • Gather images of different fruits with labels (e.g., apple, banana, orange).
  3. Data Preprocessing:
    • Clean the data (remove noise, resize images).
    • Convert images into numerical format for model processing.
  4. Feature Extraction:
    • Identify key features like color (RGB values), size (diameter), and texture.
  5. Model Selection:
    • Choose an algorithm (e.g., CNN for image classification).
  6. Model Training:
    • Train the model using labeled fruit images.
  7. Evaluation & Testing:
    • Test the model on new fruit images and measure accuracy.
  8. Deployment & Improvement:
    • Deploy the trained model in a sorting machine and refine it based on real-world performance.

(iii) Python Function to Check Prime Numbers:

 

Question 5

(i) Role of Sensors in Robotics:
Sensors in robotics help robots perceive their environment, gather data, and make decisions. They enable functions like navigation, obstacle detection, object manipulation, and human interaction by providing real-time feedback.

Difference Between Internal and External Sensors:

Type of Sensor

Description

Example

Internal Sensors

Measure the robot’s internal states, such as position, orientation, and motor speed.

Gyroscope (measures balance), Encoder (tracks wheel rotations)

External Sensors

Detect environmental conditions like distance, light, or temperature.

Camera (vision), Ultrasonic sensor (obstacle detection), LIDAR (mapping)

(ii) Three Ethical Issues Related to Cybersecurity:

  1. Privacy Violation: Unauthorized access to personal data can lead to identity theft or misuse of sensitive information.
  2. Hacking and Cybercrime: Cyberattacks on individuals, businesses, and governments can cause financial and data losses.
  3. AI and Surveillance Misuse: Overreliance on AI-driven security systems can lead to mass surveillance, violating personal freedom.

(iii) Python Program to Calculate Library Fine:

 

def calculate_fine(days_late):

    if days_late <= 10:

        fine = days_late * 1

    elif days_late <= 20:

        fine = (10 * 1) + (days_late - 10) * 2.5

    else:

        fine = (10 * 1) + (10 * 2.5) + (days_late - 20) * 5

    return fine

 

 

# Input from user

days_late = int(input("Enter the number of days late: "))

fine_amount = calculate_fine(days_late)

print("Fine to be paid: Rs.”, fine_amount)

 

Question 6

(i) Use of Tinkercad in Designing Robotic Components

Tinkercad is an online 3D modeling and circuit simulation tool that helps in designing robotic components. It allows users to create and test virtual circuits, program microcontrollers (such as Arduino), and design mechanical parts for robots. It is commonly used for:

  • Circuit Simulation: Testing electronic circuits before actual hardware implementation.
  • 3D Modeling: Designing robotic structures and components.
  • Programming & Prototyping: Writing and testing Arduino code to control robotic functions.

Advantages of Visualizing Motion Using Tinkercad

  1. Real-time Simulation: Users can see how robotic parts move and function before actual assembly.
  2. Error Detection: Helps identify design flaws before building physical models.
  3. Cost Efficiency: Reduces the need for expensive materials during the initial testing phase.

(ii) How Hacking Leads to Data Theft & Prevention Measures

Hacking refers to unauthorized access to computer systems, which can lead to data theft—stealing sensitive personal, financial, or corporate information.

How Hacking Leads to Data Theft:

  • Phishing Attacks: Fraudulent emails trick users into revealing login credentials.
  • Malware & Spyware: Malicious software records keystrokes or accesses confidential files.
  • Brute Force Attacks: Hackers guess weak passwords to gain access.

Preventive Measures:

  1. Use Strong Passwords & Multi-Factor Authentication (MFA) for secure logins.
  2. Keep Software & Systems Updated to fix security vulnerabilities.
  3. Install Firewalls & Antivirus Software to detect and block malicious activity.
  4. Educate Users About Cyber Threats to prevent falling for scams.
  5. Encrypt Sensitive Data to prevent unauthorized access.

(iii) Python Program for List Operations

 

#Create a list of integers

numbers = [10, 20, 30, 40, 50]

 

#Append 60 to the list

numbers.append(60)

 

#Insert 25 at index 2

numbers.insert(2, 25)

 

#Sort the list in ascending order

numbers.sort()

 

#Search for the integer 30 and print its index

index_30 = numbers.index(30)

print(“Index of 30:”, index_30)

 

#Print the final list

print("Final List:", numbers)

Output:

Index of 30: 3 

Final List: [10, 20, 25, 30, 40, 50, 60] 

 

Question 7

i) Importance of Integrating Sensors, Actuators, and Controllers in a Robotic System

A robotic system consists of sensors, actuators, and controllers working together to achieve automation and intelligent behavior.

  • Sensors (e.g., cameras, ultrasonic sensors) collect data from the environment.
  • Controllers (e.g., microcontrollers, AI processors) process sensor data and make decisions.
  • Actuators (e.g., motors, servos) execute movements or actions based on controller commands.

Importance:

  1. Enables Automation: Robots can perceive and react to their environment.
  2. Enhances Precision & Efficiency: Ensures smooth and accurate operations.
  3. Improves Safety: Sensors help avoid obstacles and prevent accidents.
  4. Facilitates Human-Robot Interaction: Allows robots to work safely alongside humans.

(ii) Importance of Defining the Problem Statement in an AI Project

The problem statement defines the goal, scope, and constraints of an AI project.

Impact on Project Success:

  1. Clear Objectives: Helps in setting measurable goals for AI implementation.
  2. Right Data Collection: Ensures relevant data is gathered for training the AI model.
  3. Efficient Model Selection: Guides the choice of algorithms and techniques.
  4. Better Performance & Accuracy: A well-defined problem leads to a more effective AI solution.

Example:
If the goal is "Identify defective products on an assembly line", the AI system needs image data and a classification algorithm to distinguish defective and non-defective items.

(iii) Python Program for Tuple Operations

 

#Create a tuple with elements

numbers_tuple = (5, 10, 15, 20, 25)

 

#Access and print the element at index 2

print("Element at index 2:", numbers_tuple[2])

 

#Convert the tuple into a list

numbers_list = list(numbers_tuple)

 

#Append the integer 30 to the list

numbers_list.append(30)

 

#Convert the list back into a tuple

numbers_tuple = tuple(numbers_list)

 

#Print the final tuple

print("Final Tuple:", numbers_tuple)

Output:

 

Element at index 2: 15 

Final Tuple: (5, 10, 15, 20, 25, 30)

 

Question 8

(i) Process of Building a Simple Wheeled Mobile Robot

Building a wheeled mobile robot involves designing, assembling, and programming the robot to move and interact with its environment.

Key Steps:

  1. Planning & Design
    • Define the purpose (e.g., obstacle-avoiding, line-following).
    • Choose the number of wheels (e.g., two-wheel, four-wheel drive).
  2. Selecting Key Components
    • Chassis: The base frame that holds all components.
    • Motors & Wheels: DC motors or servo motors drive the wheels.
    • Microcontroller: (e.g., Arduino, Raspberry Pi) to control movement.
    • Sensors: Ultrasonic or infrared sensors for obstacle detection.
    • Power Source: Rechargeable batteries for mobility.
    • Motor Driver Module: (e.g., L298N) to control motor speed and direction.
  3. Assembling the Robot
    • Attach motors and wheels to the chassis.
    • Connect the motor driver module to the microcontroller.
    • Mount sensors at appropriate positions.
    • Install a power source and connect all components.
  4. Programming & Testing
    • Write a control program (e.g., in Python or Arduino IDE).
    • Test movements (forward, backward, left, right).
    • Adjust sensor sensitivity and motor speed.

(ii) Three Different Ways of Representing Data Visually

  1. Bar Chart: Represents categorical data with rectangular bars.
    • Example: Comparing sales of different products.
  2. Pie Chart: Displays proportions as slices of a circular graph.
    • Example: Market share of different brands.
  3. Line Graph: Uses points connected by lines to show trends over time.
    • Example: Stock price changes over months.

(iii) Python Program for String Operations

 

#Create a string

text = "Artificial Intelligence"

 

#Convert to uppercase and print

upper_text = text.upper()

print("Uppercase:", upper_text)

 

#Find position of substring "Intelligence"

position = text.find("Intelligence")

print("Position of 'Intelligence':", position)

 

#Replace "Artificial" with "Machine" and print

new_text = text.replace("Artificial", "Machine")

print("Modified String:", new_text)

 

#Check if string starts with "Machine"

starts_with_machine = new_text.startswith("Machine")

print("Starts with 'Machine':", starts_with_machine)

 

#Count occurrences of 'i'

count_i = text.lower().count('i')

print("Occurrences of 'i':", count_i)

Output:

Uppercase: ARTIFICIAL INTELLIGENCE 

Position of 'Intelligence': 11 

Modified String: Machine Intelligence 

Starts with 'Machine': True 

Occurrences of 'i': 4