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Canon and Mitsubishi Electric unveil advanced automation solution

Newsflash Asia

- May 19, 2025

Canon Singapore and Mitsubishi Electric Asia have announced a strategic partnership to introduce a cutting-edge automation solution in Southeast Asia. This collaboration integrates Canon’s newly launched Force Torque Sensor FH-300-20 with Mitsubishi Electric’s MELFA FR series industrial robots, aiming to address labour shortages and improve operational efficiency across the region.

The Force Torque Sensor FH-300-20, showcased at SEMICON Southeast Asia 2025, is designed to bring human-like sensitivity to robotic arms. This innovation allows robots to perform complex tasks such as gear alignment and material testing with high precision. According to Kobe Kazuhiro, Senior Director of Industrial Products at Canon Singapore, the integration of force sensors is crucial for automating tasks that require delicate force application, potentially increasing demand for such technology.

The sensor’s advanced encoder technology minimises signal noise, providing clearer force feedback and smoother control, which is particularly beneficial in high-speed production environments. Its durability ensures consistent performance, reducing maintenance and downtime. By detecting subtle changes in force and torque, the sensor enables robotic arms to mimic the nuanced touch of a human hand, crucial for tasks requiring delicate adjustments.

Mitsubishi Electric’s MELFA FR series FR PLUS robots, featuring the MELFA High Drive function, complement the sensor’s capabilities by enhancing positioning time and trajectory accuracy. This combined solution supports diverse manufacturing needs, contributing to higher productivity and quality.

SEMICON Southeast Asia 2025, held from 20 to 22 May at Marina Bay Sands, Singapore, marks the 30th anniversary of the region’s premier semiconductor exhibition, drawing over 20,000 attendees from 65 countries.
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This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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