Type of course:
Digital learning, Lesson
Language:
EN
Duration:
10 minutes
Workload:
2 hours
Proficiency:
Advanced
Target:
Professionals, Students
This is the final assessment nugget for the Learning Path Autonomous Mobile Robotics – Artificial Potential Fields.
Learning outcomes
- The learner strengthens the concepts learned in the learning path through assessment
- The learner solidifies the knowledge gained in the learning path
- The learner is able to pursue more advanced courses in robotics
Course Content
Topics
Automation and Robotics, Digital Transformation, Automated Guided Vehicle (AGV), Robot Operating System (ROS), Navigation Systems
Provided by
-
University of Tartu
+226
enrolled
Course Includes
- 1 Quiz
Related
-
IntermediateAugmenting Workers
By Faculty of Engineering of University of PortoThis lesson discusses technologies that enhance human capabilities in the workplace, such as exoskeletons and augmented reality, empowering workers to perform complex tasks more efficiently and safely.
Digital learning, Lesson- Quiz1
-
IntermediateHuman-Robot Collaboration for Assembly/Disassembly
By Faculty of Engineering of University of PortoThis lesson examines the integration of COBOTs (collaborative robots) in industrial processes, explaining how humans and robots can safely and efficiently work together in tasks like assembly and disassembly.
Digital learning, Lesson- Quiz1
-
IntermediateData Analytics for Energy Efficiency and Sustainability
By Faculty of Engineering of University of PortoThis lesson focuses on using real-time data analytics to optimize energy usage in industrial settings, reducing waste, and improving sustainability through smart energy management systems.
Digital learning, Lesson- Quiz1
-
IntermediateAugmented Reality Application Development for Equipment Health Monitoring
By Laboratory for Manufacturing Systems and Automation of Patras - Laboratory for Manufacturing Systems and Automation of PatrasThis lesson teaches learners how to design Augmented Reality (AR) applications for monitoring equipment health. They will learn to formulate microservices for AR-based monitoring, create data monitoring and visualization workflows, and develop AR modules that provide real-time monitoring of equipment performance.
Digital learning, Lesson -
IntermediateIntroduction to MQTT
By Beia Consult InternationalMessage Queuing Telemetry Transport (MQTT) is a lightweight messaging protocol for Internet of Things (IoT), using a publish/subscribe model for efficient, real-time communication. Common uses include smart homes, industrial automation, and environmental monitoring.
Digital learning, Lesson- Quiz1
-
IntermediateIntroduction to Time Series Databases
By Beia Consult InternationalTime Series Databases (TSDBs) efficiently store and retrieve time-stamped data for applications like IoT, monitoring, and finance. They come in SQL-based (e.g., MySQL, PostgreSQL) for structured queries and NoSQL-based (e.g., InfluxDB, MongoDB) for scalability and high-velocity data handling. The choice depends on data volume, query complexity, and scalability needs.
Digital learning, Lesson- Quiz1
-
IntermediateIntroduction to Data Visualisation
By Beia Consult InternationalData visualization simplifies complex data through graphs, charts, and dashboards, enabling quick insights for decision-making. Grafana, a powerful open-source tool, supports real-time monitoring, interactive dashboards, and multi-source data integration for IoT, business intelligence, and analytics.
Digital learning, Lesson- Quiz1
-
IntermediateHow Grafana Is Used in IoT Applications
By Beia Consult InternationalThis course explores how Grafana enhances IoT monitoring with real-time dashboards. Learn to integrate data sources, configure visualizations, and set up alerts for insights in smart homes, industrial IoT, and environmental monitoring.
Digital learning, Lesson- Quiz1
-
BeginnerTrack and Trace with Radio Frequency Identification
By JOANNEUM RESEARCHThis learning path is designed to provide students with an introduction to the concepts of Radio Frequency Identification technology for use in track and trace applications. This includes detailed explanations and descriptions of RFID readers, tags and Near Field Communication (NFC) technology.
Digital learning, Path- Course Certificate
49 € -
BeginnerNear Field Communication
By JOANNEUM RESEARCHThis lesson explains Near Field Communication (NFC). NFC is a technology that allows you to interact securely with the world around you by simply touching it. NFC wireless technology is found in billions of smartphones, tablets, consumer and industrial electronics.
Digital learning, Lesson- Quiz1
-
BeginnerRadio Frequency Identification Tags
By JOANNEUM RESEARCHIn this lesson, we will describe Radio Frequency Identification (RFID) tags. RFID tags are small, wireless devices that use radio waves to identify and track objects. They consist of a microchip and an antenna, and can be attached to or embedded in a variety of objects to enable automated data collection and management. There are many different RFID tags to choose from, depending on the application and environmental factors.
Digital learning, Lesson- Quiz1
-
Beginner
Introduction in Radio Frequency Identification Technology
By JOANNEUM RESEARCHThe learning material starts with asset tracking with Radio Frequency Identification (RFID). Asset tracking is an increasingly important key technology for industrial manufacturing companies. Digital asset tracking brings greater transparency to the production process, allowing you to see the progress and status of your production line at any time. In this learning resource, we explain exactly what the concept means and what the benefits are for companies.In this lesson, we will introduce the basic key concepts of RFID technology.
Digital learning, Lesson- Quiz1