About This Course
The Growth of Robotics
In the fast-evolving field of robotics, where innovation drives progress, recent statistics highlight the transformative effects of this technology. The growing interest and investment in robotics are clear, with data showcasing significant advancements and the widespread adoption of robotic systems.
A key trend is the 40% growth of cobots (collaborative robots), designed to work alongside human operators. This shift towards human-centric automation emphasizes safety and collaboration, transforming industries and enhancing efficiency in diverse sectors.
Healthcare stands out as a leader in adopting robotics, particularly in the use of surgical robots, which have seen a 30% increase in usage. These technologies enable minimally invasive procedures, enhancing precision and improving patient outcomes.
The manufacturing sector remains a stronghold for robotics, with a 25% rise in the use of industrial robots. These machines are essential in tasks like assembly, welding, and quality control, driving productivity and ensuring consistent product quality.
The global robotics workforce has expanded by 18%, reflecting the growing demand for skilled professionals. Educational institutions have responded with a 20% increase in enrollments for robotics-related courses and certifications, supporting the sector’s rapid growth.
Robotics is also making strides in other industries. In agriculture, the use of drones for crop monitoring has risen by 35%, while the logistics sector has seen a 28% increase in the adoption of autonomous delivery robots. Robotics is increasingly integrated into various aspects of our daily lives.
To stay at the forefront of these technological advancements, an Executive Programme in Robotics equips professionals with a deep understanding of robotics and its industry impact. This program offers a unique blend of technical knowledge and managerial insights, helping executives navigate the evolving landscape of automation and artificial intelligence. By doing so, it positions them as leaders in a technology-driven business world.
Executive Program in Robotics
In today’s era of technological transformation, robotics has become a driving force in shaping global industries. Breakthrough advancements in technologies such as rapid prototyping, cloud computing, the Internet of Things (IoT), and Artificial Intelligence (AI) have fueled the integration of robots across diverse sectors, including healthcare, automotive, and space exploration. This rapid rise in robotic applications highlights the urgent need for upskilling and reskilling professionals involved in the design, development, manufacturing, and operation of robotics systems.
Quantum Academy Executive Programme in Robotics is designed to address this demand by offering comprehensive training that spans from foundational principles to the implementation of advanced robotics applications. This program provides a unique opportunity for individuals seeking to develop expertise and play a key role in navigating and shaping the future of robotics, ultimately enhancing human well-being and productivity.
Program Highlights
- A program offered by the Centre for Biomedical Engineering at Quantum Academy
- Quantum Academy is ranked #2 in India for engineering and technology according to QS World University Rankings 2023
- Five months of immersive online lectures
- Sessions led by Quantum Academy faculty and industry experts
- Receive an e-certificate issued by the CEP, Quantum Academy
- 120 hours of live online learning
Who Should Attend?
- Graduates looking to enter the field of robotics
- Engineers, researchers, or entrepreneurs seeking to upskill or reskill in developing and managing advanced robotic technologies
- Professionals in companies aiming to leverage robotics and AI/ML for product development and manufacturing
- Multidisciplinary product designers, developers, and managers (e.g., in healthcare, focusing on surgical robots)
- Entrepreneurs with an interest in robotics, AI, and automation
Job Roles
Job Roles Available in This Field:
- Robotics Engineer : Designs, develops, and maintains robots and robotic systems by integrating principles of mechanical, electrical, and computer engineering to create efficient and functional machines.
- Mechatronics Engineer : Blends expertise in mechanical engineering, electronics, and computer control to design and develop advanced automated systems, including robotics, with an emphasis on optimizing performance and functionality.
- Robot Operator : Operates and monitors robotic systems, ensuring smooth performance, troubleshooting issues, and conducting routine maintenance to maximize efficiency and productivity.
- Robotics Programmer : Develops code and algorithms to enable robots and automated systems to perform specific tasks, programming their movements, actions, and responses.
- Robotics Account Manager : Manages client relationships and oversees the implementation of robotics solutions, offering technical expertise, coordinating project timelines, and ensuring customer satisfaction with robotic products and services.
Learning Outcomes
- Design and build robotic devices from scratch, both mechanically and electronically.
- Develop and implement robotic programs using programming languages commonly used in the robotics industry.
- Operate a variety of sensors and actuators efficiently, understanding their role and importance in robotics.
- Utilize the Robotics Operating System (ROS) to design, control, and coordinate robotic systems and networks.
- Understand the principles of robotic vision and apply visual sensors effectively in robotics applications.
Program Details
Pedagogy
The program will be delivered through a combination of diverse teaching methods, including lectures, tutorials, hands-on exercises, and projects.
- Theory: 40%
- Practical: 60%
Program Delivery
Live online sessions delivered directly to your device (D2D).
Duration
- 5 Months
- 120 hours of Live Online Learning
- Live Online Sessions: 80 hours
- Project Work: 40 hours
Class Schedule
Every Saturday and alternate Sundays from 10:00 AM to 2:30 PM, with a break in between.
Eligibility Criteria
A Bachelor’s degree in any discipline with a minimum of 55% marks.
Admission Criteria
Selection will be based on the review of the application.
Assessment & Evaluation
- 40% – Assignments
- 50% – Project
- 10% – Attendance
Curriculum
Module 1: Fundamentals of Robotics and Automation
| Topic | Description |
|---|---|
| Introduction to Robotics in Industry and Society | Historical perspectives on the evolution of robotics and its impact on industry and society. |
| Classification of Robots and Overview of Current Research | Explores the various types of robots, current research trends, and the application of AI/ML in robotics. |
| Robotics Market, Current Challenges, and Opportunities | Discusses the current state of the robotics market, challenges faced, and the emerging opportunities. |
| System-Level Architecture of Robots | Understanding the various levels of autonomy in robots and the system-level architecture required for effective operation. |
| Fundamental Concepts of Robots | Introduction to robot components, joints, coordinate systems, and workspaces. |
| Kinematics and Kinetics of Robots | Study of motion, including kinematics (the geometry of motion) and kinetics (forces causing motion). |
| Dynamics of a Robot – Trajectory and Path | Examines the dynamics behind robot movements, focusing on trajectory planning and path optimization. |
Module 2: Sensing and Perception
| Topic | Description |
|---|---|
| Role of Interoceptive and Exteroceptive Sensing | Understanding the importance of internal (interoceptive) and external (exteroceptive) sensing in robotics. |
| Position, Velocity, and Acceleration Sensors | Introduction to sensors that measure the position, velocity, and acceleration of robotic components. |
| Force and Torque Sensing | Understanding the sensors that detect force and torque to provide feedback for robotic control. |
| Robotic Tactile Sensors and Soft Haptics | Explores tactile sensors and their role in robotic touch, as well as the use of soft haptics for interaction. |
| Non-Contact Sensing using Ultrasonic, LIDAR, and RADAR | An overview of non-contact sensing technologies like ultrasonic, LIDAR, and RADAR for robotic applications. |
| Camera-based Robotic Sensing and Machine Vision | How cameras and machine vision algorithms are used for object recognition, navigation, and control in robotics. |
| Computational Models and Methods for Processing Sensor Information | Introduction to computational models and techniques for interpreting and processing data from various sensors. |
Module 3: Actuators and Motion
| Topic | Description |
|---|---|
| Role and Characteristics of Robotic Actuators | An overview of the role and key characteristics of actuators in robotic systems, driving motion and functionality. |
| Electrical Motors – Servos, Stepper Motors, and Drive Mechanisms | Introduction to electrical motors, including servos, stepper motors, and their drive mechanisms used in robotics. |
| Pneumatic and Hydraulic Actuators | Exploration of pneumatic and hydraulic actuators, which use air and fluid pressure to generate motion in robots. |
| Soft Robotic Actuators | An introduction to soft actuators that enable flexible, adaptable movement in soft robotics systems. |
| Electroactive Polymers, Shape Memory Actuators, and Emerging Paradigms | Explores advanced actuators like electroactive polymers and shape memory actuators, highlighting new paradigms in robotic design. |
| Biomimetic Actuators, Artificial Muscle Technology, and Wearable Actuators | The study of biomimetic actuators, artificial muscles, and wearable technologies that mimic biological systems for robotics. |
| Role of 3D Printing and Mechanical Testing in Robotic Fabrication | Understanding how 3D printing and mechanical testing are essential in the fabrication and testing of robotic components. |
Module 4: Modelling, AI, and Machine Learning
| Topic | Description |
|---|---|
| Localisation, Navigation, and Environment Representation | Understanding the concepts of localisation, navigation, and how environments are represented for robotic systems. |
| Designing of Robotic Components using CAD | Exploring the use of CAD software in designing robotic components and systems. |
| Introduction to Robot Operating System (ROS) | An introduction to ROS, a powerful framework for controlling robots, managing hardware, and software integration. |
| 3D Robot Modelling, Motion Planning, and Simulation in ROS | Techniques for creating 3D models of robots, planning their movements, and simulating their actions in ROS. |
| Interfacing Hardware and Sensors to ROS | Methods for connecting hardware and sensors to ROS for data acquisition and real-time control of robotic systems. |
| Introduction to the Role of Machine Learning in Robotics – Software Architecture, Behavior-Based Systems | Exploring how machine learning is applied in robotics, including software architecture and behavior-based systems. |
| Neural Networks and Genetic Algorithms in Robotics | Introduction to neural networks and genetic algorithms and their applications in improving robotic decision-making and learning. |
| Introduction to Deep Learning and Applications in Robotics | Overview of deep learning techniques and how they are applied to tasks such as object detection and autonomous navigation in robotics. |
Module 5: Embedded Control and Mechatronics
| Topic | Description |
|---|---|
| Introduction to Embedded Computing and Control | Overview of embedded computing systems and their role in robotic control systems. |
| Introduction to Embedded Hardware Platforms – Arduino and Raspberry Pi | Introduction to popular embedded hardware platforms used in robotics, including Arduino and Raspberry Pi. |
| Programming and Interfacing of Sensors and Actuators | Techniques for programming sensors and actuators and interfacing them with embedded systems in robotics. |
| Wired and Wireless Communication Systems – MODBUS, CAN, and Other Paradigms | Study of communication systems used in robotics, including wired (MODBUS) and wireless (CAN) protocols. |
| Multi-tasking and Closed-loop Control of Robots | Introduction to multi-tasking concepts and closed-loop control in robotics for real-time decision-making and system stability. |
Module 6: Applications and Future Directions
| Topic | Description |
|---|---|
| Introduction to Biorobotics and Bionics – Exoskeleton Device, Prosthetics, and Surgical Robotics | An overview of biorobotics and bionics, focusing on exoskeletons, prosthetics, and applications in surgical robotics. |
| Humanoid Robots – Future Directions in Automation | Exploration of humanoid robots and their potential to shape the future of automation in various industries. |
| Human-Robot Interaction (HRI) and Collaboration – Collaborative Robotics | Study of how robots interact with humans, with a focus on collaborative robotics and its impact on industries. |
| Manufacturing Automation Using Industrial Robots – The Next Industrial Revolution | The role of industrial robots in transforming manufacturing processes and driving the next industrial revolution. |
| Safety Standards in Industrial Robotics | Overview of safety standards and protocols for ensuring the safe integration and operation of industrial robots. |
| Roboethics: Navigating the Ethical Use and Pitfalls of Robotics and AI | Examination of the ethical challenges surrounding robotics and AI, focusing on responsible and safe practices. |
Your Instructors
Google