Vision for industrial robot applications
Duration: 1/2/2025 - 30/7/2027
COOCK project to support companies that want to evaluate modern vision systems and processing algorithms for robot applications in their production environment.
Challenge
Many companies already use robots to automate predictable, repetitive tasks. But what if robots could also adapt flexibly to changing conditions and unexpected situations?
To enable this next step in automation, robots must be able to perceive their environment and respond intelligently. That’s why, within this project, we bring together and integrate the essential building blocks for vision-guided robotics.
Our goal? To inform companies about the possibilities and benefits of this technology and to support them in implementing smart, perception-driven robots.
Project goals
Goal 1: Feasibility and ROI of vision-driven robots
We define key applications, requirements and innovative solutions for vision-driven robots. The results, including a return-on-investment (ROI) estimate, are published in an online casebook as an inspiration for companies.
Goal 2: Provide insight into technology and integration challenges
We conduct a scan of available vision and path planning technologies and integrate them with robot software. This leads to selection criteria, a technology selection tool and integration guidelines, available through workshops and publications.
Goal 3: Make advanced technologies accessible to SMEs
We develop practical tools and guidelines for:
- Robot camera exposure optimisation
- AI-based object recognition
- Automatic calibration
- Adaptive path planning
Objective 4: Evaluation and demonstration in practical demos
We demonstrate vision-driven robot functionalities in two demos:
- Pick-and-place with product inspection
- Robotised grinding with inspection
Goal 5: Knowledge sharing and implementation support
We sensitise and inform companies through articles, presentations and demos. Deeper knowledge transfer is done through workshops and hands-on demonstrations.
