en.Wedoany.com Reported - Omron Robotics will showcase its new LD Series autonomous mobile robots (AMRs), models LD-150 and LD-300, at Automate 2026, held from June 22 to 25, 2026, at McCormick Place in Chicago. At booth 3080, visitors will see these robots demonstrating material transport applications.

The company states that the new models are expected to begin shipping in the fourth quarter of 2026. The new additions to the LD Series are designed to offer higher payload capacity, along with updated safety and performance features.

Unlike automated guided vehicles or fixed-path systems, autonomous mobile robots are designed to operate in environments with changing layouts, as well as scenarios with fluctuating personnel and workflows. Omron states that these systems are intended to help reduce manual transport and support material flow without requiring significant infrastructure modifications.

The LD-150 offers a payload capacity of up to 150 kg within a 500 mm wide footprint, while the LD-300 offers a payload capacity of up to 300 kg within a 580 mm wide footprint. Travel speed reaches up to 2.1 m/s, and wireless inductive charging takes only 30 minutes or less. The navigation system is designed for changing environments, including support for facility transitions such as ramps with a 5-degree slope. Safety scanner coverage extends up to 360 degrees, compliant with ISO 3691-4:2023. The system supports FLOW Core software for deployment management and can work collaboratively with existing LD Series robots and other Omron mobile robot fleets.

The exhibition will also feature autonomous mobile robots equipped with top modules for material transport and handling applications. Sysmac platform connectivity covers robotics, vision, safety, and production data, enabling integration across automation systems. Also on display will be the VHV5 vision system and MTC demonstration for inspection, quality control, compliance, and performance verification. The DX100 and video display systems are used for data collection, predictive maintenance, operational optimization, IT/OT integration, and AI-assisted decision-making.

This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com