Subject Syllabus
CB606 (A) - Robotics and Embedded Systems
CSBS · Semester 6
Course Modules
Learn topic-wise with Hyper AI and revise using mapped PYQs.
Industry 4.0 Concept: Background and Overview-Industry 4.0 technologies: implementation patterns in manufacturing companiesEvolution of Industrial Robots and their Applications-Advancements in Robotics and Its Future Uses-Types of robotics in various fields for applicationsTechnologies essential for Cognitive Robotics: Computer systems and Technologies relevant to modern day roboticsRobotic Process Automation: Overview of RPA and its applications-RPA, AI, and Cognitive Technologies for LeadersIntroduction to Robotics: Analysis, Control, Applications
Basics of Robotic operating System: ROS for beginners an overviewIntroduction to the Robot Operating System (ROS) Middleware - Secure communication for the Robot Operating SystemAn Introduction to Robot Operating System: The Ultimate Robot Application Framework by AdnanQuality of Service and Cybersecurity Communication Protocols -Analysis for the Robot Operating System Robotics systems communication- Threat modelling using ROSTowards cloud robotic system: A case study of online co-localization for fair resource competenceA Case Study on Model-Based Development of Robotic Systems using Monti Arc with Embedded Automata
Foundation for Advanced Robotics and AI- A Concept for a Practical Robot Design ProcessDemo to train A Robot Using AI - Deep learning core applications-Deep learning business applicationsIntroduction to computer vision and application of Vision Systems in RoboticsConcepts of computer vision and the how vision systems are becoming essential part of RoboticsComputer Vision: Models, Learning, and Inference - Mastering Computer Vision with TensorFlow 2.xMachine Vision Applications- Application areas for vision systems-Robot inspection case study-Autonomous driving using 3D imaging case study
Cognitive Technologies: The Next Step Up for Data and Analytics in roboticsCognitive Deep Learning Technology for Big Data Cognitive Assistant Robots for Reducing Variability in Industrial Human-Robot ActivitiesIntroduction to Python and R Programming in the context of RoboticsIntroduction to Python - Python Functions for Data Science-Basic ROS Learning Python for roboticsAn introduction to R -The R in Robotics rosR: A New Language Extension for the Robot Operating SystemArtificial Intelligence and Robotics - The Review of Reliability Factors Related to Industrial RobotsFailure analysis of mature robots in automated production- Data Analytics for Predictive Maintenance of Industrial RobotsFailure Is an Option: How the Severity of Robot Errors Affects Human-Robot Interaction
Learning Cloud Computing: Core Concepts - Cloud Computing: Private Cloud PlatformsRobot as a Service in Cloud Computing -Cloud Computing Technology and Its Application in Robot ControlA Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and ApplicationsGoogle's cloud robotics and high computing needs of industrial automation and systemsThe role of cloud and opensource software in the future of robotics-The Power of Cloud Robotics by Robotics Industry Association