Integrating Optical Design with Sensor Simulation for Robotic Systems: A Virtual Deep Dive

Overview

Generic sensor specs fail in real-world situations. Robots navigating unpredictable lighting, reflective surfaces, and human interaction require sensors engineered for edge-case resilience—not just nominal performance.

This extended virtual deep dive session will expand on the topics and application in the previous webinar diving deeper into a robotic optical sensor design application workflow. Watch live demonstrations of camera ISP tuning, straylight analysis, and radar modeling. Hear from an industry leader and engage directly with Ansys simulation experts in extended Q&A and networking sessions.

What Attendees Will Learn

• Master Lumerical ISP sensor acquisition and OpticStudio lens system optimization
• Build dynamic glTF scene simulations with Speos for GPU-accelerated straylight analysis & lighting simulation
• Model radar sensors in HFSS and integrate with AVxcelerate for synthetic data generation
• Automate multiphysics workflows using PyAnsys for scalable sensor validation
• Deploy optiSLang for scenario-based testing and real-time decision-making validation

Who Should Attend

• Robotics design engineers, system architects, software engineers, optics and photonics engineers, and safety engineers responsible for sensor integration, validation, and deployment in autonomous systems.

Speakers

• Gwenael Moysan, Applications Engineering, Manager
• Mike Grove, Applications Engineering, Managqw