THOMAS | Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems

Summary

The productivity of the serial production model is compromised by the need to perform changes in the production equipment that cannot support multiple operations in dynamic environments. Low cost labour is no longer an option for EU manufacturers due to the fast rise of wages and the increasing costs of energy and logistics. Manual tasks cannot be fully automated with a good ratio of cost vs robustness using standard robots due to: high product variability, dedicated process equipment and high cost of maintenance by expert users. The answer to this challenge lays in the creation of production concepts that base their operation on the autonomy and collaboration between production resources.

The vision of THOMAS is: "to create a dynamically reconfigurable shopfloor utilizing autonomous, mobile dual arm robots that are able to perceive their environment and through reasoning, cooperate with each other and with other production resources including human operators".

The objective of THOMAS are to:

  • Enable mobility on products and resources. Introducing mobile robots able to navigate in the shopfloor and utilize dexterous tooling to perform multiple operations.
  • Enabling perception of the task and the environment using a) the individual resource’s and b) collaborative perception by combining sensors of multiple resources
  • Dynamic balancing of workload. Allowing the resources to communicate over a common network and automatically adjust their behaviour by sharing or reallocating tasks dynamically.
  • Fast programming and automatic execution of new tasks by a) automatically generating the robot program for new products and b) applying skills over the perceived environment to determine required adaptations
  • Safe human robot collaboration, eliminating physical barriers, by introducing cognitive abilities that allow the detection of humans and their intentions

THOMAS will demonstrate and validate its developments in the automotive and the aeronautics industrial sectors.

 

More information & hyperlinks
Web resources: http://www.thomas-project.eu
https://cordis.europa.eu/project/id/723616
Start date: 01-10-2016
End date: 31-03-2021
Total budget - Public funding: 5 624 225,00 Euro - 4 510 700,00 Euro
Twitter: @THOMASEUProject
Cordis data

Original description

The productivity of the serial production model is compromised by the need to perform changes in the production equipment that cannot support multiple operations in dynamic environments. Low cost labour is no longer an option for EU manufacturers due to the fast rise of wages and the increasing costs of energy and logistics. Manual tasks cannot be fully automated with a good ratio of cost vs robustness using standard robots due to: high product variability, dedicated process equipment and high cost of maintenance by expert users. The answer to this challenge lays in the creation of production concepts that base their operation on the autonomy and collaboration between production resources.
The vision of THOMAS is: “to create a dynamically reconfigurable shopfloor utilizing autonomous, mobile dual arm robots that are able to perceive their environment and through reasoning, cooperate with each other and with other production resources including human operators”.
The objective of THOMAS are to:
- Enable mobility on products and resources. Introducing mobile robots able to navigate in the shopfloor and utilize dexterous tooling to perform multiple operations.
- Enabling perception of the task and the environment using a) the individual resource’s and b) collaborative perception by combining sensors of multiple resources
- Dynamic balancing of workload. Allowing the resources to communicate over a common network and automatically adjust their behaviour by sharing or reallocating tasks dynamically.
- Fast programming and automatic execution of new tasks by a) automatically generating the robot program for new products and b) applying skills over the perceived environment to determine required adaptations
- Safe human robot collaboration, eliminating physical barriers, by introducing cognitive abilities that allow the detection of humans and their intentions
THOMAS will demonstrate and validate its developments in the automotive and the aeronautics industrial sectors.

Status

CLOSED

Call topic

FOF-02-2016

Update Date

27-10-2022
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Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FOF-2016
FOF-02-2016 Machinery and robot systems in dynamic shop floor environments using novel embedded cognitive functions
Innovation Action (IA)

Project clusters are groups of projects that cooperate by organising events, generating joint papers, etc...

Effective Industrial Human-Robot Collaboration Cluster
Autonomous Smart Factories Pathway
Economic sustainability
Comment:
Flexibility
Supply chain and value network efficiency
Environmental sustainability
Material efficiency
Waste minimisation
Circular economy
Product life extension
Innovative re-use of equipment
Social sustainability
Increasing human achievements in manufacturing systems
Occupational safety and health
Comment:
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data processing
Data storage
IoT - Internet of Things
Human Machine Interfaces
Advanced and ubiquitous human machine interaction
Programming Frameworks – Software Development Kits (SDKs)
Programming Languages
Advanced material processing technologies
Integration of non-conventional technologies and conventional technologies
Replication, Equipment for flexible scalable prod/Assembly , Coatings
Mechatronics and robotics technologies
Control technologies
Intelligent machinery components, actuators and end-effectors
Industrial robotics
Human-Robot Collaboration
Engineering tools
System modelling - digital twins, simulation
Knowledge-workers and operators
Human-Robot Collaboration
Interoperability (ICT)
General interoperability framework
Integration level interoperability
Connectivity & network interoperability – communication protocols
Data/object model interoperability - Data exchange formats - APIs
Semantic/information interoperability
Platform level interoperability
User Acccess and Rights Management
Application level interoperability
Modular Design and Deployment Approaches
Open APIs and Communication Protocols
Wireless communication protocols
Web-services / Composability
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Field Device
Work station
Manufacturing the products of the future
Customised products
Resource efficient, sustainable products
Business models
Business model aspects of digital platform deployment
Manufacturing system levels
Field Device
Work station
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.2.1.5.1. Technologies for Factories of the Future
H2020-FOF-2016
FOF-02-2016 Machinery and robot systems in dynamic shop floor environments using novel embedded cognitive functions