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Excellence In ROBO ARM WITH AI(S-ERAWA-3383)

  • Last updated Oct, 2026
  • Certified Course

Course Includes

  • Duration2 Months
  • Enrolled0
  • Lectures50
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

Robo Arm with AI is a practical and advanced robotics course designed to introduce learners to robotic arm construction, servo control, microcontrollers, computer vision, artificial intelligence and intelligent object handling.

The course begins with robotics and electronics fundamentals and gradually progresses to robotic arm assembly, multi-servo control, calibration, sensors and automated pick-and-place operations. Learners then explore AI concepts, Python programming, computer vision and object recognition to develop intelligent robotic applications.

Through practical projects, students learn how AI can be integrated with robotic arms to recognize objects, make decisions and perform tasks such as automated sorting, object selection and intelligent pick-and-place operations.

What You Will Learn

  • Fundamentals of robotic arms
  • Robotic arm structure and Degrees of Freedom
  • Electronics and microcontroller basics
  • Servo motor control
  • Arduino programming
  • Robotic arm joint movement
  • Servo calibration
  • Sensors and position feedback
  • Object detection and handling
  • Pick-and-place automation
  • Artificial Intelligence fundamentals
  • Computer vision concepts
  • AI-based object recognition
  • Python programming for AI and robotics
  • AI-based robotic arm control
  • Object sorting using AI
  • Python-Arduino communication
  • Intelligent robotic automation
  • Complete AI-powered robotic arm project

Who Can Join?

  • School students
  • Robotics enthusiasts
  • STEM learners
  • Engineering and diploma students
  • Mechanical and mechatronics students
  • Electronics students
  • Arduino learners
  • Python and AI beginners
  • Students interested in computer vision
  • Students interested in advanced robotics and automation

Prerequisites

  • Basic computer knowledge
  • Basic mathematical and logical reasoning
  • Basic electronics knowledge is helpful
  • Basic programming knowledge is helpful but not mandatory
  • No advanced AI or robotics experience is required

Course Outcomes

After completing the course, learners will be able to:

  • Understand robotic arm architecture and components
  • Assemble and configure a basic robotic arm
  • Control multiple servo motors
  • Program robotic arm movements
  • Calibrate robotic joints
  • Integrate sensors with robotic systems
  • Perform basic pick-and-place operations
  • Understand Artificial Intelligence applications in robotics
  • Use Python for basic AI and robotics applications
  • Understand computer vision and object recognition
  • Develop AI-based object sorting concepts
  • Integrate AI decisions with robotic arm movement
  • Build intelligent robotic automation projects
  • Troubleshoot basic hardware, software and communication issues

Career & Learning Opportunities

  • Robotics Developer – Entry Level
  • Robotics Programming Assistant
  • AI & Robotics Trainee
  • Robotic Arm Technician
  • Automation Trainee
  • Computer Vision Trainee
  • Embedded Systems Trainee
  • Robotics Project Assistant
  • AI/ML Project Assistant
  • Mechatronics Project Trainee
  • Industrial Automation Assistant
  • Robotics Lab Assistant


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Course Syllabus

Module 1 – Introduction to Robo Arm with AI

  • Introduction to robotic arms
  • Concept of AI-powered robotic systems
  • Applications of robotic arms
  • Industrial and educational applications
  • Components of a robotic arm
  • Degrees of Freedom (DOF)
  • Working principle of a robotic arm

Module 2 – Robotics & Electronics Fundamentals

  • Basic electrical concepts
  • Voltage, current and resistance
  • DC power supply
  • Electronic components
  • Resistors and capacitors
  • Switches and connectors
  • Basic circuit diagrams
  • Electrical safety

Module 3 – Robotic Arm Structure

  • Robotic arm anatomy
  • Links and joints
  • Base, shoulder and elbow joints
  • Wrist mechanisms
  • End-effectors and grippers
  • Degrees of Freedom
  • Mechanical movement and positioning
  • Robot arm assembly concepts

Module 4 – Microcontroller Fundamentals

  • Introduction to microcontrollers
  • Role of controllers in robotic arms
  • Arduino fundamentals
  • Arduino board components
  • Digital and analog pins
  • Power and communication connections
  • Controller selection

Module 5 – Servo Motors & Actuators

  • Introduction to servo motors
  • Servo motor construction
  • Position control
  • Servo angle control
  • Connecting servos to a microcontroller
  • Servo calibration
  • Multiple servo control
  • Practical servo exercises

Module 6 – Arduino Programming for Robotic Arms

  • Introduction to Arduino IDE
  • Program structure
  • Variables and data types
  • Conditional statements
  • Loops and functions
  • Servo programming
  • Creating movement sequences
  • Uploading and testing programs

Module 7 – Robotic Arm Movement

  • Joint movement control
  • Base rotation
  • Shoulder movement
  • Elbow movement
  • Wrist movement
  • Gripper control
  • Coordinating multiple joints
  • Position-based movement

Module 8 – Robotic Arm Calibration

  • Importance of calibration
  • Servo angle limits
  • Joint alignment
  • Home position
  • Movement accuracy
  • Preventing mechanical overload
  • Calibration procedures
  • Testing arm movements

Module 9 – Sensors for Robotic Arms

  • Introduction to robotic sensors
  • Distance sensors
  • Infrared sensors
  • Force and touch sensors
  • Position feedback
  • Sensor interfacing
  • Sensor-based movement
  • Practical sensor testing

Module 10 – Object Detection & Handling

  • Introduction to object detection
  • Detecting object position
  • Pick-and-place concepts
  • Gripper operation
  • Object size and position
  • Automatic object handling
  • Sensor-assisted gripping
  • Practical pick-and-place project

Module 11 – Introduction to Artificial Intelligence

  • Fundamentals of Artificial Intelligence
  • AI in robotics
  • Machine learning concepts
  • Intelligent decision making
  • AI-based automation
  • AI vs. traditional programming
  • Applications of AI-powered robots

Module 12 – Computer Vision for Robotic Arms

  • Introduction to computer vision
  • Camera-based object detection
  • Image acquisition
  • Object recognition concepts
  • Color detection
  • Shape and position detection
  • Vision-based robotic control
  • Practical computer vision concepts

Module 13 – AI-Based Object Recognition

  • Object classification concepts
  • Image-based recognition
  • Training data fundamentals
  • Basic AI model concepts
  • Recognizing different objects
  • AI-based sorting
  • Object selection and handling
  • Testing recognition accuracy

Module 14 – AI-Based Robotic Arm Control

  • Connecting AI with robotic systems
  • AI decision-making
  • Vision-to-motion workflow
  • Object detection and movement
  • Automated pick-and-place
  • AI-based sorting
  • Dynamic movement decisions
  • Intelligent robotic control

Module 15 – Python for AI & Robotics

  • Introduction to Python
  • Python programming fundamentals
  • Variables and data types
  • Conditions and loops
  • Functions
  • Libraries for AI and robotics
  • Camera and image processing concepts
  • Python-based robot control concepts

Module 16 – Advanced AI & Robotics Integration

  • Machine learning for robotics
  • Computer vision integration
  • AI-based object sorting
  • Gesture recognition concepts
  • Intelligent robotic movement
  • Real-time decision making
  • AI-assisted automation
  • Robotics and AI system integration

Module 17 – Robotic Arm Communication

  • Microcontroller communication
  • Serial communication
  • Python-Arduino communication
  • Wireless communication concepts
  • Sending movement commands
  • Receiving sensor data
  • Communication troubleshooting
  • Real-time robotic control

Module 18 – Robo Arm Project Design & Troubleshooting

  • Project planning
  • Component selection
  • Mechanical assembly
  • Servo installation
  • Circuit design
  • AI and camera integration
  • Programming workflow
  • Debugging and troubleshooting

Module 19 – Practical Robo Arm with AI Projects

  • Basic servo-controlled robotic arm
  • Pick-and-place robotic arm
  • Color-based object sorting
  • Camera-controlled robotic arm
  • AI object recognition system
  • AI-based sorting arm
  • Gesture-controlled robotic arm concept
  • Intelligent object handling system

Module 20 – Final Robo Arm with AI Project

  • Complete robotic arm assembly
  • Servo calibration
  • Sensor and camera integration
  • AI model integration
  • Object recognition
  • Intelligent pick-and-place
  • System testing and optimization
  • Troubleshooting
  • Project presentation
  • Final practical assessment


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