莱迪思博客

Holoscan Blog - graphics

[Blog] Unlocking Edge Connectivity with FPGAs

Posted 12/05/2025 by Lattice Semiconductor

Interest in edge computing has surged as organizations across industries seek smarter ways to automate processes, enhance productivity, and optimize labor. By processing data closer to its source, edge systems can provide benefits like reduced transmission and storage costs and strengthened security. They can also enable the development of advanced machines and devices, from autonomous mobile robots (AMRs) and humanoids to smart medical devices, which can operate with precision and speed. Thes...

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Drone Webinar- Recap blog

[Blog] How FPGAs Power Real-Time UAV Performance at the Edge

Posted 11/19/2025 by Lattice Semiconductor

Across industries and use cases, computing capacity is shifting away from centralized servers and towards the edge. Whether in the form of autonomous vehicles, smart sensors, or other technological solutions, today's intelligent applications demand faster decision-making and increased autonomy. This shift is especially prevalent in the Industrial, defense, and aerospace industries. The unmanned aerial vehicles (UAVs) and drones used in defense applications rely heavily on edge intelligence to...

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Real-Time Robotics Blog - Graphic

[Blog] Building Smarter Robots: The FPGA Advantage in Real-Time Response

Posted 09/12/2025 by Karl Wachswender, Distinguished Engineer, Lattice Semiconductor

Robots have rapidly evolved from science fiction into a cornerstone of modern industry. Today’s autonomous systems can execute complex tasks with minimal human oversight – transforming how we work, live, and move. But achieving this level of intelligence and reliability in real-world environments requires more than just advanced software. It demands robust hardware, deterministic processing, and scalable system architectures that can support safe, real-time decision-making under dema...

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Agiliad AMR blog graphic

重新定义机器人技术:高精度自主移动机器人

Posted 05/20/2025 by Agiliad

想象一下,一台机器人在拥挤的工厂车间里来回穿梭,绕过设备、人员和意外出现的障碍物,实时调整路线,同时保持运动控制和系统稳定性。这不是遥不可及的愿景,而是Agiliad与莱迪思半导体公司合作设计的现实场景。 在依赖通用控制堆栈和预制套件的自主移动机器人(AMR)市场上,这款AMR脱颖而出,成为专为智能室内移动而设计的高科技系统。传统的AMR通常以模块化或易于部署为代价来换取性能,这款机器人的不同之处在于,它集成了基于莱迪思Certus™-NX FPGA的定制运动控制框架,基于ROS2的高级SLAM(同步定位和映射)、传感器融合和在英伟达Jetson Orin™上运行导航堆栈,所有这些经过紧密协调,实现低延迟、高可靠性的运行。 下一代AMR不仅移动能力强,还具有感知力、适应力,在实际场景中具备稳定控制的能力。该机器人专为工业环境、研究实验室等环境设计,集嵌入式智能、能效和全栈集成于一身,为自主系统树立了新的标杆。 使用莱迪思FPGA和英伟达GPU的Agi...

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