DeepTech Robotics, Automation & AI for Industry 4.0

Sensors, Actuators & Motion Control

Topics

• Sensors: proximity, IR, ultrasonic, encoders, IMU
• Actuators: DC motors, stepper motors, servo motors
• Motor drivers and control basics
• Open-loop vs closed-loop control
• Feedback systems in robotics

Hands-on

• Sensor working demonstration
• Motor control logic analysis
• Speed and direction control simulation
• Encoder feedback interpretation

Robot Kinematics & Control Basics

Topics

• Forward and inverse kinematics (conceptual)
• Coordinate systems and transformations
• Trajectory planning basics
• Introduction to robot control logic
• Safety considerations in robotics

Hands-on

• Kinematic analysis of robotic arm (conceptual)
• Trajectory plotting (demo)
• Control sequence design for pick-and-place robot

Embedded Control for Robotics

Topics

• Role of embedded systems in robotics
• Microcontrollers in robot control
• Interfacing sensors and actuators
• Communication protocols in robots
• Debugging robotic systems

Hands-on

• Write basic control logic for robot movement
• Sensor-based decision logic
• Debugging common robotic faults

IoT & Industrial Automation

IoT Fundamentals & Industrial Architecture

Topics

• IoT concepts and evolution
• Industrial IoT (IIoT) overview
• IoT system architecture: device, gateway, cloud
• Sensors and actuators in industrial systems
• Edge computing concepts

Hands-on

• Map industrial use case to IoT architecture
• Sensor-to-cloud data flow analysis

Industrial Communication & Protocols

Topics

• PLC basics and industrial controllers
• Industrial communication protocols
• Modbus RTU / TCP overview
• OPC-UA concepts
• Device-to-cloud communication

Hands-on

• Analyse Modbus data mapping
• Simulated PLC-IoT communication flow
• Protocol comparison exercise

SCADA, HMI & Industrial Monitoring

Topics

• SCADA architecture and components
• HMI design principles
• Tags, alarms, and trends
• Industrial monitoring and control systems
• Fault detection concepts

Hands-on

• Design basic HMI screen (demo)
• Configure alarms and trends (conceptual)
• Analyse industrial fault scenarios

Industrial Automation Use Cases

Topics

• Automation in manufacturing and power systems
• Smart factories and Industry 4.0
• Predictive maintenance overview
• Integration of robotics with automation
• System-level design approach

Hands-on

• Case study: automated production line
• End-to-end industrial automation design
• Failure analysis discussion

AI & Machine Learning Fundamentals

Topics

• AI vs ML vs Deep Learning
• Types of machine learning
• ML workflow
• Role of AI in Embedded & IoT
• Industry use cases

Hands-on

• Analyse datasets for ML suitability
• Identify ML type for given problem statements
• Map IoT problems to ML solutions

Python for AI/ML & Data Processing

Topics

• Python basics for ML
• Working with CSV and log files
• Data cleaning and preprocessing
• NumPy and Pandas basics
• Exploratory data analysis

Hands-on

• Load and clean datasets using Python
• Perform basic data analysis using Pandas
• Visualise data trends
• Handle missing and noisy data

Core Machine Learning Algorithms

Topics

• Linear regression
• Logistic regression
• Decision trees
• KNN algorithm
• Model evaluation

Hands-on

• Train a regression model
• Perform classification on sample dataset
• Evaluate model accuracy
• Compare algorithm performance

AI-Enabled Robotics & Industrial Systems

Sub-Topics

• Edge AI concepts
• AI-based predictive maintenance
• Anomaly detection in industrial systems
• AI integration with robotics and IoT
• Industry expectations and career paths

Hands-on

• End-to-end AI use case discussion
• Predict anomalies using ML
• Final review & interview readiness