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AKTU Advances in Robotics and Artificial Intelligence (HTRA701) Syllabus PDF – B.Tech Honors Degree in Robotics and Artificial Intelligence

Advances in Robotics and Artificial Intelligence HTRA701

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  • Semester 7
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Official AKTU syllabus of Advances in Robotics and Artificial Intelligence (HTRA701) for B.Tech Honors Degree in Robotics and Artificial Intelligence – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Advances in Robotics and Artificial Intelligence

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HTRA701 · 4 credits · L-T-P 3-1-0

Course Outcomes

Course Outcomes

  1. Explain the need and various systems of the Humanoid / Social robots.
  2. Understand the Swarn / Smart robots.
  3. Demonstrate the Human Robot Interaction through Collaborative Robots.
  4. Use the applications and developments of the Internet of Robotic Things.
  5. Apply automated reasoning in AI based programming.

Unit 1: Humanoid Robotics Technology and Social Robots

Sensors in Humanoid Robot, Control of Humanoid Robot, actuation types for humanoid Robot, System Integration in Humanoid Robot, Social Robot, Need of Social Robots, Assistive and Social Robots in the Healthcare Sector and other, Case study On Humanoid Robot.

Unit 2: Swarm Robotics

Characteristics, Swarm Robotics and Multi-Robotic Systems, Experimental Platforms in Swarm Robotics, Tasks in Swarm Robotics, Swarm Robots used in Real world applications, Smart Robots, Smart Robots applications, Robotics for Warfare Applications.

Unit 3: Human Robot Interaction (HRI)

Definition, History, Need of HRI, Ethical Issues for HRI, Multi-Modal Perception, Social, Service, and Assistive Robotics, HRI Architecture, Collaborative Robots, Definition, Types of Collaboration, Applications of collaborative robots, collaborative Robot Technology.

Unit 4: Industry 4.0, Internet of Robotic things (IORT) and Natural Language Processing

Introduction, Internet of Things and Robotics, Applications and developments of the Internet of Robotic Things; Introduction, Classical Approaches to Natural Language Processing, Text Preprocessing, Lexical Analysis, Syntactic Parsing, Semantic Analysis, Natural Language Generation, Applications.

Unit5: Logics for AI and Automated Reasoning

What is Automated Reasoning, methods of Reasoning, reasoning types, use of Automated reasoning in AI, Reasoning and its types, applications for Automated Reasoning, Mathematical consideration.

Text Books

  • Luger " Artificial Intelligence", Edition 5, Pearson, 2008.
  • Ralf Herbrick, ThoreGraepel, “A Handbook on Natural Language Processing”, Second Edition, CRC Press, 2010. Suggested Reference Books
  • Elmer P. Dadios, “Humanoid Robot: Design and Fuzzy Logic Control Technique for Its Intelligent Behaviors”, 2012.
  • Iñaki Navarro and Fernando Matía, “An Introduction to Swarm Robotics”, ISRN Robotics, 2013. (iii) Automation and Collaborative Robotics, Springer Publication, 2020.
  • Jeff Faneuff, Jonathan Follett, “Designing for collaborative robotics”, O'Reilly Media, 2016.
  • David Feil-Seifer, “Human-Robot Interaction”, 2010.
  • Maria Paola Bonacina, “Automated Reasoning for Explainable Artificial Intelligence”, 2018. (vii) David Gunning, “Explainable Artificial Intelligence (XAI)”, 2017. (viii) Conference Proceedings on “Artificial Intelligence, Automated Reasoning, and Symbolic Computation”, Springer Publication, 2002.

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