Advances in Robotics and Artificial Intelligence syllabus
PCC-304-RAI · Third Year Robotics and Artificial Intelligence, SPPU 2024 pattern. Every unit, the marks scheme, course outcomes and books, copied from the official syllabus PDF.
Unit-wise syllabus
Humanoid Robotics and Social Robots
7 hoursHumanoid Robot Technologies: Sensors in Humanoid Robot (vision, tactile, proprioceptive, proximity, auditory, force), Control of Humanoid Robot (open-loop, closed-loop, balance, gait, joint position, whole-body), Actuation types for Humanoid Robot (electric, hydraulic, pneumatic, series elastic, shape memory alloy, magnetic), System integration in Humanoid Robot (hardware, software, power, communication, sensor-actuator, real-time). Social Robots: Social Robot (definition, characteristics, types, social interaction, emotional expression, and communication), Need of Social Robots, Assistive and Social Robots in healthcare and others (education, retail, hospitality, defense, agriculture).
Swarm Robotics and Smart Robots
7 hoursSwarm Robotics: Characteristics, Swarm Robotics and multi-Robotic Systems, Experimental platforms in Swarm Robotics. Swarm Tasks and Real-World Use: Tasks in Swarm Robotics, Swarm robots used in real world applications. Smart and Warfare Robots: Smart Robots, Smart Robots applications, Robotics for warfare applications.
Human-Robot Interaction (HRI) and Collaborative
7 hoursRobots HRI Fundamentals: Introduction to HRI, Scope, Need, Types, HRI vs. HCI, Ethical issues in HRI, Multi-modal perception, HRI Architecture (perception, decision-making, action execution, feedback loop, ROS/NAOqi middleware). Collaborative Robots (Cobots): Definition and characteristics of Cobots, Difference between Cobots and industrial robots, Safety standards, Types of collaboration. Cobot Applications and Technology: Applications of collaborative robots (assembly lines, pick and place, quality inspection, packaging), Collaborative robot technology (torque and force sensors, visionguided Cobots, end-effector design for safety, programming methods).
Industry 4.0 and Internet of Robotic Things (IoRT)
7 hoursIoRT Fundamentals: Introduction to Industry 4.0, Cyber-Physical Systems (CPS), Industrial Internet of Things (IIoT), Evolution from Industry 1.0 to 4.0, Key enabling technologies (AI, Cloud, Big Data, 5G, Edge Computing), Definition of Internet of Robotic Things (IoRT), Integration of IoT with Robotics, Cloud robotics vs. IoRT. Applications & Developments of IoRT: Industrial applications (predictive maintenance, smart manufacturing, warehouse automation), Healthcare and Agriculture applications, Smart cities and Consumer applications, Recent developments (5G-enabled IoRT, AI-driven robot fleets, digital twins).
Natural Language Processing (NLP) and Automated
7 hoursReasoning Natural Language Processing (NLP): Introduction, Classical approaches to Natural Language Processing, Text preprocessing, Lexical analysis, Syntactic parsing, Semantic analysis, Natural language generation, Applications. Automated Reasoning: Introduction, Methods of reasoning, Reasoning types, Use of automated reasoning in AI, Reasoning and its types, Applications for Automated Reasoning, Mathematical consideration.
Marks and credits
| Head | Marks | Credit |
|---|---|---|
| CCE (continuous comprehensive evaluation) | 30 | 3 |
| End-semester exam | 70 |
Prerequisite: Basics of Robotics & AI (PCC-201-RAI).
Course outcomes
- CO1ANALYZE humanoid robot technologies, social robot applications, and case studies of Atlas, ASIMO, and Pepper.
- CO2EXPLAIN swarm basics, smart robots and their applications, and robotics for warfare.
- CO3DESCRIBE HRI fundamentals, collaborative robots, and Cobot applications and technology.
- CO4IDENTIFY Industry 4.0 fundamentals, IoRT, and its applications across industrial, healthcare, agriculture, smart city, and consumer sectors.
- CO5CLASSIFY NLP techniques and automated reasoning methods according to their functions and applications.
Books
Text books
- Soloman, S. (2023). Advanced robotics (design & applications). Khanna Book Publishing Co.
- Trivedi, M. C. (2023). A classical approach to artificial intelligence. Khanna Book Publishing.
- Luger, G. F. (2008). Artificial intelligence (5th Ed.). Pearson.
- Herbrick, R., & Graepel, T. (2010). A handbook on natural language processing (2nd Ed.). CRC Press.
Reference books
- Mukherjee, S. (2021). Robotics process automation. Khanna Book Publishing.
- Chopra, R. (2023). Data science with AI, ML, DL. Khanna Book Publishing.
- Dadios, E. P., Biliran, J. J. C., Garcia, R. G., Johnson, D., & Valencia, A. R. B. (2012). Humanoid robot: Design and fuzzy logic control technique for its intelligent behaviors. IntechOpen.
- Navarro, I., & Matía, F. (2013). An introduction to swarm robotics. ISRN Robotics.
- Faneuff, J., & Follett, J. (2016). Designing for collaborative robotics. O'Reilly Media.
NPTEL and SWAYAM links
Listed in the official syllabus:
- nptel.ac.in/courses/106105158
- nptel.ac.in/courses/106105195
- onlinecourses.nptel.ac.in/e-learning/preview/noc25_me86
FAQ
How many units are in Advances in Robotics and Artificial Intelligence?
Advances in Robotics and Artificial Intelligence (PCC-304-RAI) has 5 units: Unit I Humanoid Robotics and Social Robots (7 h); Unit II Swarm Robotics and Smart Robots (7 h); Unit III Human-Robot Interaction (HRI) and Collaborative (7 h); Unit IV Industry 4.0 and Internet of Robotic Things (IoRT) (7 h); Unit V Natural Language Processing (NLP) and Automated (7 h).
What is the marks scheme for Advances in Robotics and Artificial Intelligence?
The official Robotics and Artificial Intelligence 2024 pattern syllabus lists continuous comprehensive evaluation (CCE) for 30 marks and the end-semester exam for 70 marks, for 3 credits.
What should I know before Advances in Robotics and Artificial Intelligence?
Prerequisite listed in the syllabus: Basics of Robotics & AI (PCC-201-RAI).