Depth Sensing for Robotics & Logistics: iToF System Design Essentials
Overview
This webinar offers practical guidance for engineers integrating iToF depth sensing into robotics and logistics. It covers system-level design, from optics and illumination to mitigating real-world interference. It will help you build reliable perception for AMRs and warehouse automation.
Background
This webinar provides practical guidance for engineers and system architects integrating iToF depth mapping into robotics and warehouse automation platforms. Rather than focusing on sensor specifications in isolation, the session explores how optics, illumination, processing architecture, and environmental conditions work together to determine overall system performance.
Attendees will learn how to make informed design tradeoffs for common robotics use cases, including bin picking, pallet handling, obstacle avoidance, and indoor navigation. Key topics include managing depth accuracy across working ranges, mitigating multipath and reflective surfaces, handling motion and interference in multi-camera or multi-robot environments, and designing illumination strategies that balance performance, power, and eye safety.
The webinar will also address practical considerations such as latency budgets, compute placement, and scaling depth perception across fleets of robots. Drawing on real-world deployment experience, the session highlights common failure modes seen when moving from lab prototypes to production systems—and how to avoid them.
Whether you are evaluating iToF technology for the first time or refining an existing design, this webinar will equip you with actionable insights to build more reliable, deployable depth sensing systems for robotics and logistics automation.
This webinar offers practical guidance for engineers integrating iToF depth sensing into robotics and logistics. It covers system-level design, from optics and illumination to mitigating real-world interference. It will help you build reliable perception for AMRs and warehouse automation.
Background
This webinar provides practical guidance for engineers and system architects integrating iToF depth mapping into robotics and warehouse automation platforms. Rather than focusing on sensor specifications in isolation, the session explores how optics, illumination, processing architecture, and environmental conditions work together to determine overall system performance.
Attendees will learn how to make informed design tradeoffs for common robotics use cases, including bin picking, pallet handling, obstacle avoidance, and indoor navigation. Key topics include managing depth accuracy across working ranges, mitigating multipath and reflective surfaces, handling motion and interference in multi-camera or multi-robot environments, and designing illumination strategies that balance performance, power, and eye safety.
The webinar will also address practical considerations such as latency budgets, compute placement, and scaling depth perception across fleets of robots. Drawing on real-world deployment experience, the session highlights common failure modes seen when moving from lab prototypes to production systems—and how to avoid them.
Whether you are evaluating iToF technology for the first time or refining an existing design, this webinar will equip you with actionable insights to build more reliable, deployable depth sensing systems for robotics and logistics automation.
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