AI-based quality control (ZeMA)

Problem Quality assurance often takes place under poor ergonomic conditions. In addition, quality assurance is often performed manually, incompletely and analogously. Objectives Quality control can be performed during the process. Process parameters can thus be adjusted quickly and continuously. Approach Human-robot collaboration in process control, sensor data fusion of camera, laser line sensor and force-torque…

Large component assembly (ZeMA)

Problems Small quantities and long product life cycles result in labor-intensive assembly volumes. Among other things, this leads to the relocation of production to low-wage countries. To maintain the competitiveness of Germany as a high-wage location, there is a need for reconfigurable, automated production systems for large component assembly. Objectives Innovative production technologies will enable…

Digital Twin (ZeMA)

Problem The assembly of different product types and variants, up to lot size 1, on one assembly system leads to frequent adjustments of the assembly line and thus to renewed commissioning and rescheduling processes. In addition, different variants represent a challenge for the worker in the assembly. Objectives By means of continuous information exchange between…

2021 IEEE CASE Conference in Lyon

IEEE CASE 2021 was held in Lyon, France, from August 23-27, 2021. The theme of this year’s conference was “Data-Driven Automation.” The IEEE International Conference on Automation Science and Engineering (CASE) is the flagship conference of the IEEE Robotics and Automation Society and the leading forum for cross-industry and multidisciplinary research in automation. Its goal…

CASE 2021 in Lyon – Practice day to kick off the conference

This year’s IEEE CASE was held in Lyon (France) from August 23 to 27, 2021. The overall theme of IEEE CASE 2021 was “Data-Driven Automation.” The IEEE International Conference on Automation Science and Engineering (CASE) is the flagship automation conference of the IEEE Robotics and Automation Society and constitutes the primary forum for cross-industry and…

Intelligent robot system for solving dissection puzzle (ZeMA)

Problem Autonomous learning of an intelligent robotic system has enormous potential to solve assembly tasks. Deep reinforcement learning algorithms are generally used in robotics. Their application level is still limited to relatively simple tasks due to the complexity and variability of the industrial environment. Deep reinforcement learning will combine with subfields of machine learning such…