Robotics and Autonomous Systems in Manufacturing
Robotics and Autonomous Systems in Manufacturing delves into the integration of robotics and automation technologies to revolutionize manufacturing processes, enhancing efficiency and precision.
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e-LMS
Self Paced
Moderate
3 Months
About
his program explores the design, implementation, and management of robotic systems and autonomous technologies in the manufacturing sector. Participants will learn about the latest advancements in robotics, including collaborative robots (cobots), automated guided vehicles (AGVs), and artificial intelligence applications that drive productivity and innovation in industrial settings.
Aim
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Program Objectives
- Understand the fundamentals of robotics and autonomous systems in manufacturing.
- Master the use of robotic technologies for various manufacturing applications.
- Explore the integration of AI with robotics to enhance automation.
- Develop strategies for implementing cobots in collaborative work environments.
- Analyze the impact of autonomous systems on supply chain efficiency.
- Evaluate safety standards and ergonomic considerations in robot-heavy workplaces.
- Foster innovation in manufacturing processes through advanced automation.
- Navigate ethical and regulatory issues in industrial robotics.
- Promote sustainability through efficient resource management using robotics.
Program Structure
Module 1: Introduction to Robotics in Manufacturing
- Section 1.1: Overview of Industrial Robotics
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- History and Evolution of Robotics in Manufacturing
- Types of Robots Used in Industry
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- Section 1.2: Basics of Autonomous Systems
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- Definition and Components of Autonomous Systems
- Comparison of Automated vs. Autonomous Systems
Module 2: Robotics Hardware and Software
- Section 2.1: Mechanical Components
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- Actuators, Sensors, and End Effectors
- Design and Maintenance of Robotic Hardware
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- Section 2.2: Robotics Software
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- Programming Languages for Robotics
- Software for Robot Control and Data Management
Module 3: System Integration and Application
- Section 3.1: Integration of Robotic Systems
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- System Planning and Layout Optimization
- Integration with Existing Manufacturing Processes
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- Section 3.2: Applications in Manufacturing
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- Case Studies of Robotics in Automotive, Electronics, and Food Industries
- Robotics in Assembly, Packaging, and Quality Control
Module 4: Machine Vision and Sensing Technologies
- Section 4.1: Fundamentals of Machine Vision
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- Principles of Machine Vision
- Cameras, Lighting, and Optical Systems
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- Section 4.2: Advanced Sensing and Perception
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- 3D Vision and Laser Scanning
- Sensor Fusion for Robotic Systems
Module 5: Control Systems and Algorithms
- Section 5.1: Control Theory and Applications
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- Feedback Control Systems in Robotics
- Predictive and Adaptive Control Strategies
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- Section 5.2: Algorithm Development
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- Path Planning and Optimization Algorithms
- Algorithms for Task Allocation and Execution
Module 6: Autonomous Mobile Robots (AMRs) in Manufacturing
- Section 6.1: Introduction to AMRs
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- Types and Functions of AMRs
- Navigation, Mapping, and Localization
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- Section 6.2: Implementation Challenges
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- Handling Dynamic Environments
- Safety and Human-Robot Interaction
Module 7: Artificial Intelligence in Robotics
- Section 7.1: AI for Robotic Decision-Making
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- Machine Learning Models for Predictive Maintenance and Optimization
- Decision-Making in Uncertain Manufacturing Environments
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- Section 7.2: Advanced AI Applications
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- Collaborative Robots (Cobots) and AI
- AI in Robotics for Custom Manufacturing Processes
Module 8: Trends, Challenges, and Future of Robotics in Manufacturing
- Section 8.1: Emerging Trends
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- Innovations in Robotic Technology
- Sustainable Practices in Robotic Manufacturing
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- Section 8.2: Future Challenges and Opportunities
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- Scalability and Flexibility of Robotic Systems
- The Future Workforce and Skills Development
Participant’s Eligibility
- Engineers and technology specialists in manufacturing industries.
- Production managers interested in implementing advanced robotics.
- Systems designers working on automation and robotics projects.
- Academicians and students in mechanical engineering, robotics, or industrial automation.
- Policy makers and safety regulators focusing on industrial technology and automation.
Program Outcomes
- Robotics Integration: Proficiency in integrating robotics into existing manufacturing lines.
- AI and Machine Learning Application: Skills in applying AI to enhance automation and decision-making processes.
- System Optimization: Ability to optimize manufacturing processes using autonomous systems.
- Collaborative Technology Management: Expertise in managing human-robot interaction environments.
- Advanced Troubleshooting: Skills in diagnosing and resolving issues with robotic systems.
- Sustainability Practices: Knowledge of using automation to achieve sustainable manufacturing goals.
- Regulatory Compliance: Understanding of compliance with safety and industry regulations for robotics.
- Innovative Problem Solving: Capability to develop creative solutions to complex manufacturing challenges.
- Technical Communication: Proficiency in communicating complex robotic concepts to non-specialists.
Fee Structure
Discounted Fee: INR 2999 USD 99
Batches
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 20 % |
| Final Online Exam | 30 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Leadership in Smart Manufacturing: Roles leading the transition to fully automated manufacturing facilities.
- Specialized Consulting: Advisory positions helping firms adopt and optimize robotic technologies.
- Innovative Research and Development: Leading research projects aimed at advancing robotic capabilities.
- Entrepreneurial Ventures: Founding startups focused on robotics and automation solutions.
- Global Project Management: Managing international projects that implement cutting-edge manufacturing technologies.
- Policy and Standard Development: Influential roles in crafting regulations for robotic use in industry.
- Academic Careers: Teaching positions focusing on robotics and industrial automation.
- Sustainability Leadership: Directing initiatives to utilize robotics for eco-efficient manufacturing.
- Public Sector Innovation: Roles within government agencies focusing on industrial technology advancements.
Job Opportunities
- Robotics Engineer
- Automation Specialist
- Systems Integration Engineer
- AI Implementation Manager
- Industrial Automation Consultant
- Robotic Systems Technician
- Production Line Automation Coordinator
- Quality Control Analyst with Robotics Focus
- Safety and Compliance Officer in Robotics
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