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Why deterministic real-time systems are more critical than ever in robotics

5 de junho de 2026 · 45 min

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Winston Leung explains that QNX is enhancing safety for physical AI-based robots through its innovative microkernel architecture, which is designed for safety-critical applications. QNX architecture provides a reliable and deterministic platform, crucial for real-time control and decision-making in robotics. By partnering with industry leaders such as NVIDIA and Intel, QNX ensures its operating system is optimized for high-performance computing platforms, thereby enabling robust safety and security measures. Additionally, QNX's focus on integrating cybersecurity with functional safety standards underscores its commitment to protecting robots operating in human environments. Winston Leung is Senior Strategic Alliances Manager at QNX, where he manages key strategic partner relationships and programs to expand the company’s product portfolio and ecosystem. He delivers strategies and thought leadership in functional safety, real-time performance, and reliability for embedded systems across robotics, medical, and transportation sectors. Download QNX’s Inside the Robot: https://qnx.software/en/reports/inside-the-robot?utm_medium=podcast&utm_source=the-robot-report&utm_campaign=fy27-q2-inside-the-robot ### – SPONSORS – This episode is brought to you by GreyOrange If you're running a warehouse, your robots, people, and systems are only as powerful as their ability to work together. GreyMatter by GreyOrange is the AI-powered warehouse orchestration platform that coordinates every agent on your floor in real time, with over a million optimizations per minute, and delivering up to 4x productivity gains. GreyMatter works with the robots you already have, or with the ones you want. Ready to go beyond your WMS? LEARN MORE AT: https://www.greyorange.com/TheRobotReport/

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