SHIN-JIGEN to Host Webinar with Professor Kensuke Harada of Osaka University on 'The Strengths of Japanese Robots in the Physical AI Era'
Key facts
- SHIN-JIGEN to Host Webinar with Professor Kensuke Harada of Osaka University on 'The Strengths of Japanese Robots in the Physical AI Era'
- 株式会社SHIN-JIGEN will host a free online seminar on June 24, 2026, featuring Professor Kensuke Harada of Osaka University, focusing on Physical AI and the strengths of the Japanese robotics industry.
- Source: PR Times
- Date: June 11, 2026
Direct answer
株式会社SHIN-JIGEN will host a free online seminar on June 24, 2026, featuring Professor Kensuke Harada of Osaka University, focusing on Physical AI and the strengths of the Japanese robotics industry.
- Citation
- SHIN-JIGEN to Host Webinar with Professor Kensuke Harada of Osaka University on 'The Strengths of Japanese Robots in the Physical AI Era' (June 11, 2026), PR Times
- Source
- PR Times
- Date
- June 11, 2026
株式会社SHIN-JIGEN will host a free online seminar on June 24, 2026, featuring Professor Kensuke Harada of Osaka University, focusing on Physical AI and the strengths of the Japanese robotics industry.
📋 Article Processing Timeline
- 📰 Published: June 11, 2026 at 18:00
- 🔍 Collected: June 11, 2026 at 09:21
- 🤖 AI Analyzed: June 11, 2026 at 10:03 (42 min after Collected)
SHIN-JIGEN (Nara City, Nara Prefecture; CEO: Tamao Okamoto), a company supporting breakthroughs with 'Robotics and Edge AI,' will hold an online seminar on Wednesday, June 24, 2026, from 8:20 AM, featuring Professor Kensuke Harada of the Graduate School of Engineering Science, Osaka University.
Interest in 'Physical AI,' where AI operates in the physical world, is rising due to advancements in multimodal AI and robot foundation models. However, to make robots functional in real-world scenarios, it is necessary to capture data reflecting the variations of the environment that change daily, rather than just using learning data collected in controlled settings. How to collect, manage, and utilize such on-site data is becoming a critical issue for the social implementation of Physical AI.
In this webinar, Professor Harada, who leads the Physical AI and robotics field in Japan—including serving as chair of the Ministry of Economy, Trade and Industry’s AI Robotics Strategy Study Group—will discuss the 'strengths of Japanese robots' in the Physical AI era, addressing challenges in data collection. Following his talk, he will engage in a session with SHIN-JIGEN CEO Tamao Okamoto to further discuss how the strengths of the Japanese robotics industry can be connected to social implementation and business.
[Event Overview]
Date: Wednesday, June 24, 2026, 8:20–9:00 AM
Fee: Free
Format: Online (Zoom)
Host: SHIN-JIGEN Co., Ltd.
Interest in 'Physical AI,' where AI operates in the physical world, is rising due to advancements in multimodal AI and robot foundation models. However, to make robots functional in real-world scenarios, it is necessary to capture data reflecting the variations of the environment that change daily, rather than just using learning data collected in controlled settings. How to collect, manage, and utilize such on-site data is becoming a critical issue for the social implementation of Physical AI.
In this webinar, Professor Harada, who leads the Physical AI and robotics field in Japan—including serving as chair of the Ministry of Economy, Trade and Industry’s AI Robotics Strategy Study Group—will discuss the 'strengths of Japanese robots' in the Physical AI era, addressing challenges in data collection. Following his talk, he will engage in a session with SHIN-JIGEN CEO Tamao Okamoto to further discuss how the strengths of the Japanese robotics industry can be connected to social implementation and business.
[Event Overview]
Date: Wednesday, June 24, 2026, 8:20–9:00 AM
Fee: Free
Format: Online (Zoom)
Host: SHIN-JIGEN Co., Ltd.
FAQ
セミナーの開催日はいつですか?
2026年6月24日(水)午前8時20分から午前9時まで開催されます。
誰がセミナーに登壇しますか?
大阪大学大学院基礎工学研究科の原田研介教授と、株式会社SHIN-JIGEN代表取締役CEOの岡本球夫氏が登壇します。
セミナーの形式と費用は?
Zoomを使用した無料のオンラインセミナーです。
フィジカルAIとは何ですか?
マルチモーダルAIやロボット基盤モデルの進展により、AIが物理世界で作業を行うことを指します。
このセミナーの主なテーマは何ですか?
「フィジカルAI時代に際立つ『日本のロボットの強み』」をテーマに、現場データの収集や社会実装について議論します。