Partially Automated Robot Welding Station (ZeMA)

Problem In smaller companies, many production processes in joining technology are still carried out manually, since a higher degree of automation is often not economical. Partial automation of welding workstations offers great potential for increasing efficiency and process capability as well as reducing production costs. Objectives Human-robot cooperation (HRC) is an approach to demand-oriented, adapted…

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…

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…

Safety technology for industrial robots (ZeMA)

Problem In the demonstrator, the safe cooperation between humans and industrial robots is considered. The developments focus on safe workplace and process design without the use of protective fences and cages. Objectives This solution consists of developing a sensor system that monitors workstations and provides a demonstration of synchronized human-robot collaboration. It creates a safe…

Synchronized HRC demonstrator (ZeMA)

Problem A safe environment for interaction and cooperation with humans usually has conventional separating protective devices. Objectives To develop a safe environment without separating guards with sensor systems that monitor workstations and demonstrate synchronized human-robot collaboration. A number of objects will be trained for pick and place applications. Approach To make the system as safe…