Nick Kern
Nick Kern Systems Applications Engineer II, SICK

ABOUT

Nick Kern is a Systems Applications Engineer at SICK, where he works closely with manufacturers, OEMs, and system integrators to apply vision and sensing technologies to real world automation challenges. His experience focuses on helping customers improve reliability, accuracy, and flexibility in robotic and industrial automation systems. Nick brings a practical perspective on how vision based guidance and sensor intelligence support more predictable automation outcomes, particularly in applications involving part detection, positioning, and robotic integration.
Jon Cocco
Jon Cocco CEO, Feedall Automation

ABOUT

Jon Cocco is the CEO of Feedall Automation, a leading manufacturer of part feeding systems and automation equipment serving North American manufacturers. With decades of experience in industrial automation, Jon has focused his career on helping manufacturers overcome material handling and part presentation challenges that limit the effectiveness of robotic systems. Under his leadership, Feedall continues to advance flexible feeding technologies that enable more reliable, scalable, and practical automation across a wide range of manufacturing environments.

The Fast Path to Reliable Robotic Feeding

Robotic automation often fails due to inconsistent part presentation, not robot performance. This webinar shows how Feedall Flex and SICK vision improve feeding, guidance, and integration. Learn how early alignment of feeding and vision creates stable, scalable robotic cells for high‑mix, changing production environments.


In partnership with SICK

Many robotic automation projects struggle not because of the robot itself, but because of a less visible problem: inconsistent part presentation. When parts aren’t reliably separated, oriented, and located, robotic cells become fragile, leading to cycle times drift, downtime increases, and integration effort grows.

This webinar takes a practical look at the part presentation challenge and why it remains one of the most common barriers to successful robotic automation. Feedall Automation and SICK examine how feeding and vision impact robot performance, what typically goes wrong during integration, and how addressing these requirements early can reduce risk and complexity.

Attendees will learn how combining flexible feeding with vision based guidance creates more stable and predictable robotic systems, especially in high mix and changing production environments. The session will focus on real world considerations for getting parts robot ready and building automation that is easier to deploy, operate, and scale.

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