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Safety Improvement and Control Strategies in Human-Robot Collaboration Using Non-Rectified Multicamera Images

Project description

Enhancing human robot collaboration safety

Human-robot collaboration (HRC) is essential in robotics within Industry 4.0. To prevent collisions and enhance safety, techniques such as external cameras, sensor-embedded robot skins, and image-based feedback control, primarily using vision-based technology, are employed. The EU-funded HRC project will improve safety in HRC by using a novel convergent stereo-camera model that eliminates the need for image rectification. This model offers lower computational complexity and faster execution times than existing stereovision techniques. Additionally, the project will advance robot skin technology by integrating high-resolution visual data and enhancing tactile capabilities with visual features based on the stereo-camera model. Ultimately, it will deepen understanding of robotic vision and control.

Objective

Human-robot collaboration (HRC) is an important and established subject of study and research in the field of robotics (as part of Industry 4.0) which currently pervades many aspects of human endeavour. Advances in HRC have diversified the application of robots from the traditional production line to intelligent manufacturing, homecare, and healthcare. In such applications, human-robot collisions are bound to occur, with adverse consequences. To overcome the challenge of collision and improve safety in HRC in a shared workspace, several techniques (which employ vision, acoustics or haptics technology) have been developed. The techniques include external positioning of cameras in the workspace, use of robot skin embedded with sensors, and image-based feedback control. These three methods typically apply vision-based technology.

This proposal aims to employ a novel and validated convergent stereo camera model (that does not require image rectification) in robots with a view to improving safety in HRC. The model is characterized by less computational complexity and short execution time relative to existing reconstruction models in stereovision literature. Subsequently, the project will introduce an improvement for robot skin to also have visual information from high-resolution cameras by extending the geometric analysis and mathematical modeling of non-rectification stereo imaging to multicamera imaging in the light of safety improvement in HRC using robot skin. This will complement the tactile sensation capabilities of robot skin with enhanced visual features that incorporate elements of the validated stereo camera model. Finally, a double-view image-based visual servoing control strategy will be developed for the improvement of safety in HRC using the validated model. While contributing to robotics literature and presenting new approaches to collision avoidance in HRC, this project will ultimately deepen the researcher’s understanding of robotic vision and control.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-WIDERA-2024-TALENTS-02

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Coordinator

VSB - TECHNICAL UNIVERSITY OF OSTRAVA
Net EU contribution

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.

€ 207 758,16
Address
17 LISTOPADU 2172/15
708 00 OSTRAVA PORUBA
Czechia

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Region
Česko Moravskoslezsko Moravskoslezský kraj
Activity type
Higher or Secondary Education Establishments
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Total cost

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