Reference number : 172-2024-2025-Q1-1015787, amendment number : , agreement type : G, recipient legal name : Corporation de l'École Polytechnique de Montréal, recipient country : CA, recipient province : QC, recipient city : Montreal|Montréal, recipient postal code : H3C 3A7, program name english : Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives, program name french : Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D, program purpose english : Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas., program purpose french : Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires., agreement title english : Efficient operator-guided cobot programming and scene recognition for 
welding applications, agreement title french : Programmation efficace de robots collaboratifs guidés par l’opérateur et reconnaissance de scènes pour les applications de soudage., agreement number : 1015787, agreement value : 149600.0, agreement start date : 2024-05-01, agreement end date : 2026-03-31, description english : In manufacturing projects that require a high degree of adaptability such as 
shipbuilding or energy, robots often fail to provide utility to the welder as 
they require significant time to program, are often stationary, and for safety 
must be isolated from nearby workers. To address these issues, this Project 
will introduce cobots to the large-scale welding job workflow through the 
adoption of vision systems combined with machine learning to identify the 
potential weld seams and adapt programming accordingly, providing a 
simple interface for the welding operator to assign tasks to the cobot. In 
addition, the cobot motion will be optimized by creating a library of robust 
parametric or micro-motions, collision avoidance planning, and resolved 
redundancy while avoiding singularities or cable wrapping. Through a 
simulation module, the operator will verify the planned trajectory and make 
any necessary corrections before the cobot executes the task., description french : Programmation efficace de robots collaboratifs guidés par l’opérateur et reconnaissance de scènes pour les applications de soudage., expected results english : In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems., expected results french : À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides., additional information english : nan, additional information french : nan, owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada