Robot Vision Optimizes Automated Kitting Cell
How a high-performance robot vision system solved the pick-and-place performance issues of an automated kitting cell
‘Eyes and Brains for Your Robot’: Roboception is a pioneer in innovative 3D vision solutions that enable robotic systems to reliably perceive their environment.
Effectively combining best-in-class AI and more traditional perception methods, Roboception’s intuitive software suite and portfolio of stereo sensors help solve flexible and complex automation tasks of today and tomorrow.
3D vision greatly enhances a robot’s ability to adapt to different environments, varying lighting conditions, and complex scenes, and promotes a comprehensive understanding of its surroundings. Equipped with 3D vision capabilities, robots can accurately identify and locate objects in their environment, which is critical for tasks such as pick-and-place operations. The integration of 3D robot vision enables robots to achieve greater accuracy in spatially aware tasks, particularly in applications where precision is critical, such as assembly, quality control, and inspection.
The depth information provided by 3D vision serves as a key asset for effective collision avoidance. Robots equipped with this technology can seamlessly navigate through complex environments, deftly avoiding obstacles and ensuring safe operation. In essence, 3D robot vision not only improves the accuracy of automation tasks, but also opens up new possibilities, making complex operations achievable and reliable.
Implementing 3D robot vision can be challenging, but the level of difficulty varies based on factors such as the technology chosen, the complexity of the application, and the expertise of the user. Factory-calibrated 3D sensors minimize the calibration effort. The complexity of the robotic application affects the level of difficulty. Tasks such as object manipulation may require advanced robotic and vision capabilities, while simpler applications may have more straightforward implementations. Therefore, when selecting a 3D robot vision solution, care should be taken to select a user-friendly system that is easy to operate and does not require machine vision expertise.
Retrofitting existing applications with 3D robot vision is absolutely possible. Feasibility depends on factors such as the application’s compatibility with 3D sensing technologies and the level of integration required. Evaluating the specific needs of your application and selecting an appropriate 3D vision system is a critical first step. In many cases, this may involve adding 3D sensors and adapting software to incorporate depth perception and object recognition capabilities. While challenges may arise, working with computer vision and robotics experts can facilitate a successful retrofit and enhance the capabilities of your existing application.
3D robot vision plays a critical role in enhancing the capabilities of collaborative robots (cobots). By providing depth perception and spatial awareness, 3D vision enables cobots to interact more safely and effectively with human workers. This technology allows cobots to accurately sense their surroundings, detect human presence, and adjust their behavior accordingly. With 3D robot vision, cobots can navigate shared workspaces, avoid collisions, and collaborate on tasks, contributing to more flexible and efficient human-robot collaboration.
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How a high-performance robot vision system solved the pick-and-place performance issues of an automated kitting cell
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