Autonomous Robotics Lab
Certificate Course - Information Systems Engineering - ISE.5AR.I25
| Date | Oct 26 - Nov 6, 2026 |
| Duration | 3 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | 8 |
| Cost | 4,980€ |
Fundamentals
The course introduces cyber-physical systems and core concepts of autonomous robotics in production and logistics.
Technology
It covers methodologies, algorithms, and technologies for designing and operating autonomous robots.
Applications
Students apply concepts in lab work and real systems for industrial robotics in Industry 4.0 and logistics.
What you'll explore
- Design and operation of autonomous robots for production and logistics
- Introduction to cyber-physical systems in modern industrial contexts (Industry 4.0, IoT, Industrial Internet)
- Use of mobile robots as a platform for learning key methodologies, algorithms, and technologies
- Combination of theoretical teaching and practitioner input
- Strong focus on experimental lab work
- Development of practical skills for implementing autonomous robotics concepts
Your key takeaways
- LR-1: Methods of localization and navigation of robots can be described and applied.
- LR-2: Application and training in artificial neuronal networks for object classification.
- LR-3: Control of robots and communication with sensors, devices and other robots using ROS and cloud services.
- LR-4: Evaluate the capabilities and performance of a self-designed and operated robot-system.
Taught by recognized experts in Autonomous Robotics
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Prof. Dr.- Ing. Kai Furmans
Prof. Dr.-Ing. Kai Furmans is Director of the Institute for Material Handling and Logistics Systems at the Karlsruhe Institute of Technology (KIT). His research focuses on stochastic models in production and logistics, lean material flow systems, cyber-physical logistics in Industry 4.0, and risk management in supply chains. With a background in industrial engineering and extensive leadership experience in academia and industry, including Bosch, he combines analytical logistics methods with real-world applications. At KIT, he advances innovative, resilient and data-driven logistics and supply chain systems for future industrial environments.
Prof. Dr.-Ing. habil. Björn Hein
Prof. Dr.-Ing. habil. Björn Hein is Professor for Intelligent Production and Cloud Robotics at Karlsruhe Institute of Technology (KIT) and Hochschule Karlsruhe. He leads research in robotics, sensor systems, cloud, edge and fog computing, AI and machine learning for autonomous industrial systems. As Institute Spokesperson, he drives innovation in intelligent manufacturing, combining academia, industry transfer and award-winning research in human-robot interaction and autonomous production systems.
Prof. Dr.-Ing. Christian Wurll
Prof. Dr.-Ing. Christian Wurll is Dean of the Faculty of Business and Professor for Automation and Robotics at Karlsruhe University of Applied Sciences. With international leadership experience in robotics, logistics, and automation industries, he bridges academia and industry. His research focuses on autonomous systems, intralogistics, and Industry 4.0. He leads innovative projects in collaborative robotics and smart logistics, shaping future-ready industrial solutions through teaching, research, and global partnerships.
Who should attend
This course is particularly beneficial for professionals in the following fields:
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Engineers in robotics, automation, and mechatronics
Professionals involved in the design, operation, or optimization of robotic and automated systems in industrial environments. -
Production and logistics professionals
Engineers and specialists working in manufacturing, intralogistics, warehouse automation, or smart factory environments who want to understand autonomous robotics in practice. -
Software developers and system integrators
Professionals working with robot software, sensors, control systems, ROS, or connected devices in cyber-physical and industrial systems. -
Project managers and innovation leaders in Industry 4.0
Managers responsible for automation, robotics, digital production, or logistics transformation projects. -
Professionals in AI and intelligent systems
Specialists interested in applying machine learning, object classification, navigation, and autonomous decision-making in robotics contexts. -
Researchers and early-career academics
Researchers, PhD candidates, and academic staff in robotics, automation, production engineering, logistics, or intelligent systems
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.