Project description
The human side in human robot collaboration
To address the increasing need for flexible manufacturing lines, the manufacturing paradigm has to advance towards hybrid solutions, combining the capabilities of both humans and machines. While there is much attention to the technological improvements of human-robot collaborative (HRC) solutions, the operator’s psychological and social well-being remains an overlooked subject, resulting in performance and acceptance issues, dealing with applications and complexity. The EU-funded SHERLOCK project addresses these shortcomings, aspiring to develop flexible, safe human-centred robotic applications for new collaborative workplaces. The project introduces novel robotics technologies, such as high and low payload collaborative robots, exoskeletons and mobile dual arm robots, enhanced them with smart mechatronics and AI-based cognition to augment human capabilities. The novel SHERLOCK shop floors ensures safety, acceptance, and well-being of the operators.
Objective
Human robot collaboration (HRC) has evolved to address the need for flexible production, presenting however drawbacks such as: Inability to cover all applications, Low performance/quality of collaboration and Complexity. SHERLOCK aims to introduce the latest safe robotic technologies in production environments, enhancing them with smart mechatronics and AI based cognition, creating efficient HRC stations that are designed to be safe and guarantee the acceptance/wellbeing of operators. SHERLOCK’s objectives are driven by production requirements involving:
1. Soft Robotics Collaborative Production Station: Starting from a human safety basis:
- AURA a high payload collaborative manipulator
- Smart exoskeletons with adjustable operation
- Safe mobile dual arm manipulators
2. Human - centred interaction, collaboration and awareness by developing
- Interfaces inspiring trust/familiarity, allowing seamless HR interaction
- Methods for assessing user impact of HRC systems
- Design principles/standards to maintain operator psychological safety/wellbeing in HRC
- Production setups for people with special restrictions exploiting the robot’s cognition
3. AI enabled cognition for autonomous HRC applications: enabling robots to understand their environment, reason over it and adapt by:
-Multi-level perception for process and environment assessment
- Safe workspace monitoring systems
- Autonomous planning and coordination of human robot tasks
- Interactive learning, adapting to operator and simplifying teaching of new tasks
4. Modules for design and certification of Safe HRC applications:
- Automated Risk Assessment tools within design/simulation packages
- VR/AR tools for validating collaborative operations - reducing certification time
- Software tools for Formal on-line safety assessment
- AR/VR training methods specialized for HRC
SHERLOCK will demonstrate its result in 4 sectors: elevators, industrial modules, aeronautics structures and machine tools production.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences software
- engineering and technology mechanical engineering mechatronics
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics soft robotics
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aeronautical engineering
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.5. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
MAIN PROGRAMME
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H2020-EU.2.1.5.1. - Technologies for Factories of the Future
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-NMBP-TR-IND-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
265 04 RIO PATRAS
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.