Vecow Showcases Edge AI Robotics Platforms at Japan IT Week 2026

Industrial automation, robotics, and edge AI deployment in sectors such as manufacturing, logistics, and smart infrastructure require high-performance computing at the edge, and Vecow Co., Ltd. presents its latest edge AI platforms and robotics solutions designed to support real-time perception and scalable intelligent systems.

At Japan IT Week Spring 2026, held at Tokyo Big Sight (Tokyo International Exhibition Center), Japan, from April 8–10, 2026, Vecow is exhibiting at the 29th Embedded/Edge Computing Expo (ESEC), West Hall 3 and 4, W23-43, where it demonstrates how edge AI computing supports the transition from digital transformation to intelligent robotics.

Edge AI Platforms for Autonomous Mobile Robots
Vecow presents its VTK AMR Developer Kit, a multi-sensor platform designed for autonomous mobile robot (AMR) development. Powered by NVIDIA Jetson AGX Orin, the system integrates LiDAR, cameras, inertial measurement units (IMU), GNSS, microphones, and ultrasonic sensors to enable comprehensive environmental perception.

Combined with SLAM (Simultaneous Localization and Mapping) technology, the platform supports high-precision navigation and localization, allowing robotics developers to build and validate autonomous systems in dynamic environments such as warehouses and industrial facilities.

Scalable Architectures for Humanoid Robotics
To address the growing complexity of humanoid robotics, Vecow introduces platforms based on NVIDIA Jetson Thor, designed for high-throughput perception and AI processing. The showcased Omni-Perception Architecture enables real-time processing of up to 16 synchronized camera streams, supporting applications that require large-scale sensor fusion.

An integrated robotics architecture combines AI computing, sensor fusion, and motion control into a unified system. This includes dedicated modules for AI processing, real-time sensor integration, and precise motor control, simplifying development and reducing system integration challenges for robotics engineers.

Edge AI PCs for Industrial and AI Workloads
Vecow also unveils new x86-based edge AI PCs designed for industrial workloads. These systems include high-performance embedded platforms with multi-core processing capabilities and support for AI frameworks such as OpenVINO.

A live demonstration showcases a generative vision-language model (VLM) for real-time object identification and translation, illustrating how edge computing can enable advanced AI applications without reliance on cloud processing.

Additionally, rugged hardware such as MIL-STD-810H-certified tablets demonstrates durability and reliability in harsh operating conditions, supporting deployment in field environments.

Multi-Platform Edge Computing Ecosystem
Vecow’s portfolio extends across multiple processor ecosystems, including Qualcomm, NXP, AMD, and Intel platforms, enabling tailored solutions for different edge AI use cases. This approach allows system integrators to select hardware optimized for specific workloads, from low-power IoT gateways to high-performance edge servers.

By providing integrated hardware platforms that support diverse architectures, Vecow addresses the need for flexibility in deploying edge AI systems across industries such as smart energy, transportation, and industrial automation.

From Development to Deployment in Robotics
Vecow positions its solutions to support the full lifecycle of robotics development, from prototyping to mass production. By combining edge AI computing, multi-sensor perception, and integrated system architectures, the company aims to reduce development complexity while enabling scalable deployment of intelligent machines.

Through live demonstrations at Japan IT Week, Vecow highlights how edge AI platforms can support real-time decision-making, improve system autonomy, and accelerate the adoption of robotics in industrial and commercial environments.

Edited by Natania Lyngdoh, Induportals Editor — Adapted by AI.

www.vecow.com