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Omron’s eighth-generation table tennis coaching robot will demonstrate its outstanding performance at the CIIE

王林
王林forward
2023-11-02 14:21:02670browse

(November 2, 2023, Global TMT News) Omron will participate in the sixth CIIE with the theme of "Inspiring Future Innovation through Automation". Omron demonstrated a model for the future human-machine relationship - the table tennis coaching robot FORPHEUS. After ten years of continuous iteration, FORPHEUS has been upgraded to the eighth generation. At this CIIE, Omron also specially invited a table tennis world champion to interact with FORPHEUS and brought the new eighth-generation FORPHEUS to the booth

Omron’s eighth-generation table tennis coaching robot will demonstrate its outstanding performance at the CIIE

The newly upgraded eighth generation FORPHEUS table tennis coaching robot has been improved and upgraded

The eighth-generation FORPHEUS helps robots and people establish deeper relationships by increasing the interactive function of human-machine "dialogue". First of all, on the basis of quickly creating a portrait of the experiencer's athletic ability, the eighth-generation FORPHEUS can more deeply understand the needs of players. By capturing table tennis data such as speed, route and player movements through visual sensing technology, FORPHEUS forms a preliminary understanding of its athletic ability; combined with facial recognition technology, it can determine its emotional and physical status and formulate a preliminary sparring plan. The eighth-generation FORPHEUS equipped with a dialogue function will inform players of their judgment of skills and preset plans, and confirm players’ thoughts and needs. Secondly, based on dialogue with players, the eighth-generation FORPHEUS can propose solutions that are more suitable for players, such as return speed, hitting route, etc., and then start sparring after reaching a consensus with players. In subsequent battles, FORPHEUS promptly followed up on the experiencers’ movement feedback, reconfirmed or flexibly adjusted the plan, and achieved real-time optimized human-machine collaboration through continuous human-machine communication

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