RWTH Certificate Course Mobile Robotic Systems in Intralogistics

Architecture and Implementation

Learn how to control mobile robotics systems in the intralogistic environment. You will work directly with the software architecture allowing robots to freely navigate a room and to autonomously execute material flow tasks. You will also get to know the open source project Robot Operating System (ROS).

Course Content

▶ Hardware and software concepts of mobile robotics including planning of movement
▶ Application of local and global path planning and collision avoidance
▶ Application in flexible material flow systems with the Robot Operating System (ROS)
▶ Environmental perception of mobile robotics systems with various sensor technologies

Group of Participants
Engineers, Computer Scientists from the areas of mechanical engineering, electrical engineering, and computer science with programming knowledge in C++ and Python

Motivation
The increasing variety and short-lived nature of products are two key drivers of using flexible material flow systems in the production area. Aside from fixed transport systems, the past ten years have seen ever more automated guided vehicles (AGV) come into use. Further development towards autonomous mobile robotics systems thus allows free and autonomous decision.

Methodolgy
The course takes place on five consecutive days and ends with an exam. Course content is developed and consolidated in interactive lectures, group work, presentations and case studies.

Further information regarding the certificate course "Mobile Robotic Systems in Intralogistics"

First Day: Introduction I

• Introduction to mobile Robotics Hardware + Software-Concepts
• Acquisition of Vision and Laser Sensor Visualization
• Mobile Robotics Drive

Second Day: Theory and Practical Sessions I

• Semantics and Syntax of task-level planning concepts
• Introducing and mapping the logistics tasks to rules and facts
• Implementing rules and facts for the agent

Third Day: Theory and Practical Sessions II

• Hierarchical motion planning concept
• Practical sessions: Starting the path planner in simulation; Defining global search graph; Connecting nodes and edges on 2D

Fourth Day: Theory and Practical Sessions III

• Local path planning and collision avoidance
• Visuzalization of coastmaps and Configuration of local path planning and collision avoidance
• Configuration of local path planning and collision avoidance

Fifth Day: Theory and Practical Sessions IV

• Monitoring path execution and material handling
• Seperation and connection into serialized behaviors calls from task-level planner