Human-Robot Interaction (HRI) plays a crucial role in enabling seamless collaboration between humans and robots, leading to increased productivity, efficiency, and safety in production processes. Robots equipped with advanced sensing capabilities can work alongside humans, performing repetitive and physically demanding tasks, while humans focus on more complex and strategic aspects of production.
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CONVERGING aims to Develop, deploy, validate, and promote smart and reconfigurable production systems including multiple autonomous agents (collaborative robots, AGVs, humans) that are able to act in diverse production environments.
The project proposes the development of systems that can:
- Identify and recognize processes/resources/environment and their status
- Analyze the production system status and autonomously formulate a plan of actions using AI
- Automatically modify h/w and control systems to execute the formulated plans
- Seamlessly work with humans or other resources establishing a social industrial environment
- Expand its capabilities and Openness via an Open Pilot Network
The CONVERGING results will be demonstrated in the following sectors: Automotive, Aircraft Production, White Goods and Additive Manufacturing products processing sectors.
Project Name:
CONVERGING - Social industrial collaborative environments integrating AI, Big Data, and Robotics for smart manufacturing
Grant Agreement No.:
101058521
Topic:
HORIZON-CL4-2021-TWIN-TRANSITION-01-01 - AI-enhanced robotics systems for smart manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
Call:
HORIZON-CL4-2021-TWIN-TRANSITION-01
Funding Scheme:
HORIZON-AG - HORIZON Action Grant Budget-Based
Start Date:
1 September 2022 (Duration 48 Months)
Human-Robot Collaboration
Human-Cobot Collaboration for Robust Quality Inspections
Secure AI
Human Centred Artificial Intelligence for Agile Manufacturing 4.0
Safety with AI
Human Behaviour Prediction and Safe Zone Detection for Routing
To improve industrial acceptance, HRI systems need to improve the speed and robustness they realize without compromising on safety. The robustness of HRI cells can be reduced when safety or protective stops are triggered, which can also give delays which make integration to an assembly line difficult. Methods that improve the robot's ability to avoid contact situations - by changing the trajectory or task sequence - can help reduce the frequency of safety events, improving productivity.
Industry 4.0 is characterized by the wave of digital technologies being implemented in industry, such as big data, artificial intelligence, virtual and augmented reality, and collaborative robots.
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