Grants and Contributions:
Title:
Efficient operator-guided cobot programming and scene recognition for
welding applications
Agreement Number:
1015787
Agreement Value:
$149,600.00
Agreement Date:
May 1, 2024 - Mar 31, 2026
Description:
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.
Organization:
National Research Council Canada
Expected Results:
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.
Location:
Montreal, Quebec, CA H3C 3A7
Reference Number:
172-2024-2025-Q1-1015787
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
107585226
Recipient Type:
Academia
Recipient's Legal Name:
Corporation de l'École Polytechnique de Montréal
Federal Riding Name:
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number:
24077
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
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.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences