Voice-driven interaction in XR spaces
Enhanced-XR Human-Robot Interactive Collaboration for Welding Operations.
Challenge:
Full-Cycle Challenge
WELD-E objectives introduce a voice and vision-based AI system integrated into an XR environment to facilitate remote support from the experts to robowelders and remotely monitor the welding process via: 1) Speech recognition and automated translation models (multilingual user support, seamless communications and translation), 2) natural language models and conversation agents (more natural human-machine interfacing, facilitated communications), 3) a collaborative, Mixed-Reality (XR) environment (3D visualization, advanced interaction, welding operations, information modelling etc.). The solution will be tested, validated, benchmarked and demonstrated in realistic welding environments, in various scenarios, including (5-10) welding experts/users.
The solution is expected to create significant impact in the areas of: manufacturing (interactive, effective, more efficient and engaging operations), social and working conditions (safer, increased quality and accessibility, process performance monitoring), environmental (advanced sustainability, greener operations, cost effectiveness, accessibility). To maximize this ambitious impact, WELD-E intends to provide the solution as Open Source, while intends to be particularly active in contributing to clusters, alliances and other associations enhancing its already wide dissemination. In parallel, WELD-E commercial dimension will be supported by business plan, market positioning and calibration, including market-tailored dissemination activities, commercial steps and industrial presence.
Welding operations have existed for decades, however, remain a critical technology in many industries, such as shipbuilding, oil, and gas industry, automotive and manufacturing. Advanced interaction and integration of AI models has revolutionized welding operations, emphasizing robotics and other digital technologies, paving the way for enhanced safety, productivity, and connectivity. Today, the welding industry faces challenges exacerbated by the inability to effectively support and interactively guide the workforce during robotic welding processes and the inability to continuously and real-time monitor the process itself. Therefore, there is an urgent need for innovative solutions that demonstrate adequate tailor-made guidance and ensure their effectiveness and adaptability in evolving industrial environments.
Technology provider and integrator, experienced in large scale product development and commercialization projects in the private and public sector. IKH’s core competencies are in designing and implementing Service Robotics (AGVs, robotic arm, mechatronics), Data Driven Intelligence (computer vision, cognitive control, human-machine interfaces), IoT, Digital Government, Industrial Internet, Digital Health.
KONNECTA SYSTEMS
Computer Science (PhD), Senior Research Scientist and Team lead.
KONNECTA SYSTEMS
Electrical and Computer Engineering (MSc) and Solutions Architect
KONNECTA SYSTEMS
Machine Learning (MSc) and Machine Learning Engineer
KONNECTA
SYSTEMS
Electrical Engineer (MSc) and Head of Research.
IKNOWHOW S.A
Experienced in EU and commercial project and program management for more than 6 years.
IKNOWHOW S.A
AI Engineer, Experienced in developing and integrating AI and machine learning modules in robotic systems for more than 4 years in the industry.
IKNOWHOW S.A
Background in robotics with plenty of experience in programming wide range of robotic applications (robotic arms, AGVs, SLAM, etc.). He is leading the development of the robotic welding solution the last 3 years.
IKNOWHOW S.A
Responsible for the development of AR application and functionalities. Experienced in Unity and integrations with AR headset.
IKNOWHOW S.A
5-year experience in robotics and the robotic welding solution that is being developed by IKH.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.
visibility_offDisable flashes
titleMark headings
settingsBackground Color
zoom_outZoom out
zoom_inZoom in
remove_circle_outlineDecrease font
add_circle_outlineIncrease font
spellcheckReadable font
brightness_highBright contrast
brightness_lowDark contrast
format_underlinedUnderline links
font_downloadMark links