Humanoid Robots Are Reshaping Industry

The Lattice Avant FPGA is the central control hub, performing sensor fusion, edge AI, and safety coordination through the Lattice sensAI and Lattice Automate solution stacks. Perception sits at the head, where a Lattice mVision pipeline processes vision and lidar inputs. Each arm is driven by a Lattice CertusPro-NX FPGA for servo and haptic control, while a Lattice MachXO5-NX FPGA provides dedicated safety and power management aligned to the IEC 62061 and ISO 13849 functional safety standards. The legs rely on Lattice Nexus FPGAs for gait and balance, connecting through EtherCAT and I/O-Link field interfaces for deterministic, real-time communication. Together, these nodes form a unified low power FPGA fabric operating at less than 1 W per node.

The Lattice Nexus 2 small FPGA platform provides advanced connectivity, optimized power and performance, and leading security.

The Lattice Nexus small FPGA platform enables low power, high reliability, and high performance design.

The Lattice Avant mid-range FPGA platform features class leading 25 Gbps SERDES, hardened PCIe^®, and external memory PHY interfaces.

The Lattice Avant-E FPGA features high logic density, abundant DSPs, ample embedded memory, and LPDDR4 support, enabling low-latency, power-efficient AI processing ideal for real-time edge applications like vision, robotics, and industrial automation.

The Lattice CertusPro-NX FPGA is optimized for edge AI applications, featuring up to 100k logic cells, ample on-chip memory, up to 156 DSPs, and low power consumption, while supporting LPDDR4, PCIe Gen3, and 10G SERDES, making it ideal for real-time parallel processing near sensors with minimal latency.

The Lattice CrossLink-NX FPGA is built for edge AI applications, offering up to 40k logic cells, high memory-to-logic ratio, and low power consumption, with hardened or software MIPI D-PHY support, PCIe or USB 3.2 interfaces options, making it ideal for embedded vision and AI inferencing.

The Lattice iCE40 UltraPlus is perfect for very low power edge AI applications, featuring up to 5280 LUTs, ultra-low static current (75 µA), and soft neural network IPs, enabling always-on intelligence with efficient pattern matching and AI inferencing.

The Lattice mVision solution stack includes everything embedded vision system designers need to evaluate, develop, and deploy FPGA-based embedded vision applications, such as machine vision, robotics, ADAS, video surveillance, and drones.

The Lattice sensAI solution stack accelerates the integration of flexible, low power inferencing at the edge. It provides everything needed to evaluate, develop, and deploy FPGA-based machine learning and AI solutions.

The Lattice sensAI Studio is a streamlined, user-friendly development environment for effortlessly deploying machine learning models onto Lattice's low power FPGA platforms. With Lattice sensAI Studio, developers can train, optimize, and deploy AI models using pre-trained assets or their own datasets, specifically targeting Lattice FPGAs.

The Lattice sensAI Edge Vision Engine empowers developers with advanced AI and machine learning capabilities, featuring sophisticated computer vision functionalities and a camera viewer for effective visualization. It accelerates development by enabling quick integration of computer vision and audio AI on Lattice hardware and general-purpose processors.

Lattice Sentry is a software solution for platform firmware resiliency (PFR) Root of Trust, and Zero Trust security, enabling secure boot, authentication, and IP protection.

The Lattice Design Group brings our team’s unmatched experience on Lattice products, software, and solutions to solve your application challenge.

Because of their flexibility and programmability, FPGAs offer unique opportunities for AI acceleration. Thanks to a reconfigurable fabric for data processing, they can be deployed at the edge or in datacenters and servers. In this on-demand webinar, the panel talks about how to design for FPGA with AI acceleration in mind, and what is required for success.

Date: April 2, 2026 (English) Watch Now

The global humanoid market is projected for explosive growth over the next several years. As these robots increasingly move from research environments to commercial deployments, designers face a variety of challenges. Humanoid safety often takes center stage as a core challenge, but safety without security falls short as humanoids increasingly interact directly with people. Watch this Security Seminar with Lattice, SEALSQ, and Promwad Electronics Design to learn about the evolving landscape of humanoids and security.

Date: March 31, 2026 (English) Watch Now

This demo showcases an integrated EtherCAT motor control solution implemented on a single Lattice FPGA, designed for real‑time motion control nodes in industrial automation systems. The design combines cyclic EtherCAT process data exchange with a deterministic field‑oriented control (FOC) motor control subsystem, delivering high‑dynamic performance with minimal latency. An embedded RISC‑V processor manages configuration and application control, while single‑chip integration consolidates EtherCAT communication, the FOC control loop, and encoder interfaces to reduce BOM, save board space, and improve system determinism.

Date: March 25, 2026 (English) Watch Now

This demo highlights the DA322 Holoscan Adapter from Tauro Technologies, a compact multi‑sensor aggregation platform built on a low power Lattice CertusPro‑NX FPGA. The solution supports four MIPI CSI‑2 camera inputs and aggregates HDMI, MIPI, or GMSL data into a single 10 GbE stream for efficient sensor ingest. Using RDMA, the platform feeds synchronized, high‑bandwidth data directly into NVIDIA Orin or Thor™ systems for real‑time visualization. With Precision Time Protocol (IEEE 1588‑2019), flexible multi‑function I/O, and an SFP+ 10 Gbps interface, the design enables scalable, space‑efficient sensor integration for advanced edge AI and visualization applications.

Date: March 25, 2026 (English) Watch Now

This demo showcases a miniaturized 3D sensor module built on AIRY3D’s patented TDM technology, mounted on a humanoid robotic arm and interfaced with the Lattice CrossLink-NX 40 FPGA. The FPGA offloads the majority of depth computation, reducing system load and enabling efficient operation alongside an application processor such as the NVIDIA Jetson Orin Nano. With a wide field of view and no occlusion, the sensor delivers accurate near‑field depth awareness. This capability opens new opportunities for robotic grasping, in‑hand manipulation, and end‑effector‑mounted perception, supporting more responsive and intelligent humanoid robotics systems.

Date: March 25, 2026 (English) Watch Now

As AI systems scale from datacenters to the edge, the architectural conversation is shifting. It’s no longer just about CPUs and GPUs. Companion silicon is becoming foundational to how intelligent systems are built, controlled, and secured. Hosts of the Six Five podcast Patrick Moorhead and Daniel Newman are joined for this webinar by Lattice CEO Ford Tamer to explore why FPGA attach rates are rising and how small and mid-range, low-power devices are driving real system-level value across AI infrastructure and how Lattice is ideally positioned as the “everywhere companion chip” provider from the edge to the cloud.

Date: February 23, 2026 (English) Watch Now

Watch this on demand webinar with experts from NVIDIA, e-con Systems, and Lattice demonstrating how Holoscan camera solutions leverage Lattice FPGAs to efficiently bridge and synchronize diverse sensors on the NVIDIA Jetson Thor platform.

December 17, 2025 (English) Watch Now

Experience a cutting-edge industrial human-machine interface (HMI) that features advanced operator attention sensing and identification. This demo enables seamless interaction with machinery, delivering real-time insights and precise control for enhanced operational efficiency.

Date: September 14, 2025 (English) Watch Now

Explore how to deploy edge AI human-machine interfaces (HMIs) in environments with tight thermal, power, memory, and compute constraints. As sensor networks grow and AI models push further to the edge, extracting real-time intelligence becomes both powerful and complex. In this on-demand webinar, you’ll learn practical strategies and gain expert guidance to overcome these challenges with low power FPGAs.

Date: September 9, 2025 (English) Watch Now