Robotics fundamentals: Understanding robot architectures, motion planning, manipulation, localization, and navigation techniques. IoT integration with robotics: Exploring IoT protocols, middleware, and architectures for seamless integration with robotic systems. Automation in IoT: Analysing automated processes, workflows, decision-making algorithms, and adaptive control in IoT-enabled environments. Robotic applications in IoT: Investigating robotics applications in smart manufacturing, logistics, healthcare, agriculture, and smart cities. Human-robot interaction: Examining interfaces, safety considerations, ethical implications, and social aspects of human-robot collaboration in IoT contexts.
Explain the key components of robot architectures, including sensors, actuators, and control systems. Analyze kinematics and dynamics principles to understand robot motion and manipulation.
Connect robotic systems to IoT platforms using appropriate communication protocols. Utilize cloud computing and edge computing for data processing and remote control of robots.
Design automated workflows and decision-making algorithms for IoT-enabled systems. Implement adaptive control strategies to optimize robotic operations in IoT environments.
Identify and evaluate robotics applications in various industries such as healthcare, agriculture, and logistics. Analyze the impact of robotics and automation on improving efficiency and productivity in IoT contexts.
Design user interfaces for effective human-robot collaboration in IoT settings. Address safety considerations and ethical implications related to human-robot interaction.
Collaborate with team members to develop and implement a robotics project integrated with IoT technologies. Demonstrate project outcomes through practical application and presentation.
Analyze complex problems in robotics and IoT, and propose innovative solutions. Apply theoretical knowledge to real-world scenarios and troubleshoot technical challenges effectively.
Present ideas, project progress, and outcomes clearly and persuasively to peers and instructors. Engage in constructive discussions and provide feedback on peers' work.
Acquire practical skills through hands-on labs, programming exercises, and project development. Gain experience in using robotics kits, simulation environments, and IoT development platforms.
Build a solid foundation in robotics, automation, and IoT integration for pursuing advanced studies or entering industry roles. Explore career paths in robotics engineering, IoT development, automation consulting, and related fields.
Robot architectures Kinematics and dynamics Control systems basics.
IoT concepts and components IoT protocols and communication standards IoT platforms overview
Motion planning algorithms Trajectory generation PID control for robots
Programming languages for robotics (Python, C/C++) Robotic simulation environments Hands-on programming exercises
Sensor integration in robotic systems Communication protocols (MQTT, CoAP) Cloud computing and edge computing for robotics
Middleware solutions for IoT and robotics API development for IoT-enabled robots Case study: Integrating a robot with an IoT platform.
Workflow automation Decision-making algorithms Adaptive control systems
Industrial automation applications Smart manufacturing processes Automation case studies
Robotics in healthcare Robotics in agriculture Robotics in logistics and transportation
Interface design for human-robot collaboration Safety considerations in human-robot interaction Ethical and social implications
Group project assignment Hands-on project work with mentors Troubleshooting and refinement
Group presentations of project outcomes Feedback and discussion Closing remarks and certificates distribution
Assignments and quizzes Hands-on projects Final evaluation and project presentation
