Advanced Robotics Systems & Industrial Applications
Master advanced robotics concepts for industrial deployment and integration. Gain hands-on experience with ROS, IoT, field networks, and real-time control systems for multi-robot environments.
Course Highlights
Course Objectives
Recap essential robotics fundamentals and control concepts for advanced applications.
Understand deployment, integration, and optimization of robots in industrial and service environments.
Explore real-time robotic control and communication using ROS, field networks, and IoT.
Gain hands-on experience in robot programming, task automation, and collaborative operations.
Analyze robot performance in logistics, assembly, inspection, and autonomous navigation.
Implement data-driven and simulation-based approaches for utilization, predictive maintenance, and digital twins.
Course Outcomes
Industrial & Service Integration
Robot Programming & Control
ROS, Field Networks & IoT
Simulation & Optimization
Real-World Robotics Projects
Course Modules
Step-by-step learning journey designed to build your expertise progressively
Recap of Fundamentals
Types, coordinates, kinematics, actuators, control
Industrial & Service Robotics Overview
Manufacturing, logistics, healthcare, agriculture
System Integration & Control
Integration strategies and control systems
Programming & Task Automation
Teaching methods, offline programming, path optimization
Mobility, AGV/AMR
Navigation, fleet management, SLAM, automation
ROS & IoT
ROS architecture, MQTT bridge, dashboards
Simulation & Digital Twin
Gazebo, TwinCAT
Case Studies & Trends
Industry applications, AI robotics, edge computing
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