Course Description
In today's cutting-edge world, AI is used from a variety of perspectives. For instance, AI calculations are utilized in Google search algorithms, GPS navigation. AI algorithms are usually just software and have nothing to do with robots. The AI calculations are just one part of the bigger automated framework that combines sensors, actuators, and non-AI programming when controlling robots. Robotics is a field of science that is responsible for designing and creating machines to reduce human effort. The ability of robots to replace manual labour is not limited to just replacing human effort; they can also detect the environment and adapt accordingly. Robots use a combination of hardware and software working in sync with each other. Artificial intelligence and robotics provide a powerful combination for automating tasks. In recent years, artificial intelligence has become increasingly prevalent in robotic solutions, bringing flexibility and learning capabilities to previously rigid applications. This course will start with a brief introduction to Human Intelligence, Artificial Intelligence (AI) and Computational Intelligence (CI) with some suitable examples. The Syllabus of this Course will be taught in 12 hours of online lectures and distributed over in 6 weeks. A proper balance between theory and numerical examples will be maintained.
Course Highlights
- A deep dive into Human Intelligence, Artificial Intelligence, and Computational Intelligence (CI);
- The development of intelligent robots using CI's application;
- The merits and demerits of AI and its various potential applications;
- Explanation of the working principles of different types of neural networks with numerical examples;
- Overview of learning algorithms;
- Overview of fuzzy sets and the principle of fuzzy reasoning tools will be explained with numerical examples;
- In-depth introduction to nature-inspired optimization techniques. In particular, Genetic Algorithms (GAs);
- Discussions on the working principles of the combined approaches, namely genetic-fuzzy, genetic-neural, Neuro-fuzzy, and genetic-Neuro-fuzzy systems; Familiarity with Robots and robotics;
- Application of AI in robotics to collect information about its environment using cameras and sensors;
- Preparation of an efficient plan while being adaptive and controlling motors efficiently;
- Adaptive Motion Planner, Controller, and Vision System will be evolved, and Multi-Sensors data fusion will be achieved using AI for intelligent Robots.
- At the end of this Course, a Video containing the experimental results of one recently developed Agricultural Robot will be displayed.
Section Two
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Section Three
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53
years of legacy
143+
full-time students
750+
faculty members
8
campuses / centres across India
17
specialized schools
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2:Problem analysis: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO3:Design/development of solutions: Design solutions for complex engineering problems and system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
PO4:Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5:Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6:The engineer and society: Apply to reason informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7:Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8:Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9:Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10:Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11:Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12:Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
A graduate of the Robotics & Automation program will demonstrate:
PSO1: Professional skills: An ability to apply concepts in Robotics & Automation to design and implement complex machines and systems to solve problems faced in manufacturing, health care, agriculture, industrial engineering, and safety.
PSO2: Competitive skills: An ability to make use of acquired technical knowledge for a successful career, to align with changing industry requirements, and qualifying in competitive examinations
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