About corse

The field of robotics and intelligent systems continues to evolve at an unprecedented pace, driven by advancements in artificial intelligence, machine learning, and sensor technology. As industries increasingly integrate automation into their operations, understanding the underlying principles of robotics becomes essential for professionals across various sectors. This comprehensive training course is designed to equip participants with both theoretical knowledge and practical skills, ensuring they can effectively contribute to the development and deployment of intelligent robotic systems. By immersing themselves in this dynamic subject, attendees will gain insights into the latest trends, technologies, and methodologies that are shaping the future of automation. Throughout the course, participants will explore a wide range of topics, from fundamental concepts in robotics to complex algorithms that govern intelligent behavior. The curriculum is structured to provide a balanced mix of lectures, hands-on activities, and collaborative projects, fostering an engaging learning environment. By the end of this training, attendees will not only understand the technical aspects of robotics but also appreciate the ethical considerations and societal impacts associated with their implementation.

The Objectives

• Understand the core principles of robotics and intelligent systems.
• Explore the integration of AI and machine learning in robotic applications.
• Gain practical experience through hands-on projects and simulations.
• Analyze real-world case studies to identify challenges and solutions.
• Develop skills in programming and controlling robotic systems.
• Understand the ethical implications of robotics in society.

Training Methodology

• Interactive lectures and discussions led by industry experts.
• Hands-on workshops to apply theoretical concepts in practical scenarios.
• Group projects to foster teamwork and collaborative problem-solving.
• Case studies to illustrate real-world applications and challenges.
• Continuous assessment through quizzes and practical evaluations.
• Access to online resources and forums for extended learning.

WHO SHOULD ATTEND

This course is designed for engineers, technologists, researchers, and professionals involved in automation, manufacturing, and related fields. It is also beneficial for students and educators looking to deepen their understanding of robotics and intelligent systems.

Course Outlines

Day 1

• Introduction to Robotics: Historical Perspective and Current Trends
• Overview of Intelligent Systems and AI Principles
• Key Components of Robotic Systems: Sensors and Actuators
• Introduction to Robot Kinematics and Dynamics
• Safety Considerations in Robotics
• Hands-on Activity: Building a Simple Robot Model

Day 2

• Programming Basics for Robotics: Languages and Tools
• Understanding Robot Motion Planning Algorithms
• Introduction to Machine Learning Concepts
• Integrating Sensors for Environmental Awareness
• Case Study: Successful Robotic Implementations
• Hands-on Activity: Programming a Basic Robot Movement

Day 3

• Advanced Topics in Machine Learning for Robotics
• Understanding Computer Vision and Image Processing
• Exploring Human-Robot Interaction (HRI) Techniques
• Ethical Considerations in Robotics Development
• Group Discussion: Future of Robotics in Society
• Hands-on Activity: Implementing Vision Systems in Robots

Day 4

• Introduction to Autonomous Robotics and Navigation
• Overview of SLAM (Simultaneous Localization and Mapping)
• Exploring Swarm Robotics and Coordination
• Challenges in Robot Perception and Decision Making
• Case Studies: Autonomous Systems in Real-World Scenarios
• Hands-on Activity: Developing Navigation Algorithms

Day 5

• Robotic Process Automation (RPA) and Its Applications
• Understanding the Role of Robotics in Industry 4.0
• Exploring the Internet of Things (IoT) in Robotics
• Group Project: Designing a Robotic Solution for a Specific Problem
• Presentation Skills Workshop: Communicating Technical Ideas
• Hands-on Activity: Building an IoT-Enabled Robot

Training Method?

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a copy of the presentation
• Slides and handouts

Training Method?

The course agenda will be as follows:

• Technical Session 30-10.00 am
• Coffee Break 00-10.15 am
• Technical Session 15-12.15 noon
• Coffee Break 15-12.45 pm
• Technical Session 45-02.30 pm
• Course Ends 30 pm