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CNN's Detours journeys through Tokyo to spotlight centuries-old traditions living on in the modern capital

Business

CNN's Detours journeys through Tokyo to spotlight centuries-old traditions living on in the modern capital
Business

Business

CNN's Detours journeys through Tokyo to spotlight centuries-old traditions living on in the modern capital

2026-09-02 10:42 Last Updated At:11:05

HONG KONG, Sept. 2, 2026 /PRNewswire/ -- Tokyo is one of the most visited cities in the world, known for its futuristic flash, incredible cuisine, and rich culture. In this episode of CNN's Detours, discover Tokyo beyond the familiar tourist path, tracing the city's centuries-old Edo roots to connect with the traditions, rituals and legacies that uncover the city's enduring spirit. From the mountains of Hinohara to the alleys of Kagurazaka, this episode delves into Tokyo's slower and lived rhythm.

During the Edogawa Fireworks Festival, more than 14,000 fireworks launch over the banks of the Edogawa River in a breathtaking display of Japan's vibrant 'hanabi' culture. Spanning one hour, it is the capital's largest summer pyrotechnic event and requires months of meticulous planning and precise coordination. At the helm is chief organizer and designer Dr Akiko Amano, the first woman to become master of the historic Kagiya fireworks house. Under her direction, the Edo era tradition is reimagined with large-scale formations and sequences, whilst honoring the Kagiya legacy, reputation and way of life. 

Seemingly untouched by the pace of modern Tokyo, historic hillside neighborhood Kagurazaka lies on the eastern edge of Tokyo's Shinjuku ward. Travel back centuries with Yokichi Ishii, the third-generation owner of the century-old fashion accessories shop Sukeroku, where he explores a neighborhood that flourished as a lively 'hanamachi' or geisha quarter during the Edo period. Kagurazaka native Makoto Odagiri shares the magic of the Awa Odori dance, capturing the spirit of the annual Kagurazaka Matsuri festival, where the neighborhood transforms from a quiet enclave into a vibrant celebration of music, dance, and community.

Away from the hustle and bustle of Tokyo's city center, Hinohara Village offers a rare escape into the world that once helped sustain Edo. Tucked deep in the mountains, a 300-year-old thatched-roof building serves as the home of Kabutoya Ryokan, a traditional Japanese inn. More than a historic building, it stands as a living link to history, a remnant from a time when the forests, rivers, and mountain resources of these lands supported the growing capital. Here, innkeeper Keiyu Okabe welcomes guests with river fish, mountain vegetables, and dishes rooted in Edo-era sustenance. In the lush valleys of Tokyo's "last village," Okabe takes viewers off the beaten path and explores how heritage survives today through food and tradition, celebrating the landscapes and customs that continue to shape daily life.

Detours (Tokyo) trailers: https://bit.ly/4ya1ET4  
Detours (Tokyo) images: https://bit.ly/4i4LMfZ    

Airtimes for Detours (Tokyo): 
Saturday, 5th September at 7:30pm HKT
Sunday, 6th September at 9:30am HKT
Monday, 7th September at 1:30am HKT

- Ends -

About CNN International  
CNN's portfolio of news and information services is available in seven different languages across all major TV, digital and mobile platforms, reaching more than 379 million households around the globe. CNN International is the number one international TV news channel according to all major media surveys across Europe, the Middle East and Africa, the Asia Pacific region, and Latin America and has a US presence that includes CNNgo. CNN Digital is a leading network for online news, mobile news and social media. CNN is at the forefront of digital innovation and continues to invest heavily in expanding its digital global footprint, with a suite of award-winning digital properties and a range of strategic content partnerships, commercialised through a strong data-driven understanding of audience behaviours. CNN has won multiple prestigious awards around the world for its journalism. Around 1,000 hours of long-form series, documentaries and specials are produced every year by CNNI's non-news programming division. CNN has 36 editorial offices and more than 1,100 affiliates worldwide through CNN Newsource. CNN International is a Warner Bros. Discovery company. 

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

CNN's Detours journeys through Tokyo to spotlight centuries-old traditions living on in the modern capital

CNN's Detours journeys through Tokyo to spotlight centuries-old traditions living on in the modern capital

From intelligent robotic automation in Zurich to bimanual robot training data in Bremen, Agile Robots and its subsidiary Franka Robotics demonstrated how Physical AI empowers human from research into real-world applications.

ZURICH and BREMEN, Germany, Sept. 2, 2026 /PRNewswire/ -- This August, at two leading European events Agile Robots and its subsidiary Franka Robotics presented one connected vision: Let intelligent robots that can sense, learn and perform - bring Physical AI to the real world.

all about automation Zurich, Switzerland | 26-27 August

Among 300 exhibitors at Messe Zürich, Agile Robots showcased two advanced automation solutions for manufacturers and integrators:

  • Diana 7 - force-controlled assembly. Diana 7's torque sensors in all seven joints monitored engine head insertion forces in real time, helping confirm correct position while reducing the risk of jamming and component damage.

  • Thor 12– flexible robotic welding. With drag-and-drop teaching and low-code control, users can quickly create and flexibly adjust welding paths while achieving stable seams across corner, vertical and inclined welds—even with gaps as narrow as 1 mm.

Diana 7: https://www.agile-robots.com/en/solutions/diana-7/

Thor Series: https://www.agile-robots.com/en/solutions/thor-series/

Robot Training Data at IJCAI-ECAI 2026

Bremen, Germany | 15 - 21 August

As a Silver Sponsor of IJCAI-ECAI 2026, Franka Robotics demonstrated how AI developers can turn human expertise into structured data for training intelligent robot behaviors.

Visitors used Franka GELLO Duo to teleoperate the FR3 Duo, while LABS captured each demonstration as training data for bimanual manipulation skills. By connecting intuitive teleoperation, high-performance robotic hardware and data capture in one integrated workflow, the solution enables AI teams to collect repeatable demonstrations and build scalable robot-learning datasets.

Explore LABS: franka.de/labs

Explore Franka Robotics: franka.de

Together, the two events in Switzerland and Germany highlighted Agile Robots' competitive strength: bridging advanced AI research, reliable robotic platforms and real-world deployment such as industrial automation. For manufacturers, system integrators and AI researchers across APAC, the Group's portfolio provides a scalable pathway from experimentation and development to practical deployment.

About Agile Robots  agile-robots.com
Founded in Munich, Germany in 2018, Agile Robots combines AI and robotics for automotive, electronics, healthcare and service applications. Its 3,500+ employees have installed more than 20,000 robotic solutions worldwide.

About Franka Robotics franka.de
Part of Agile Robots since 2023, Franka Robotics develops reference robotic platforms for robotics researchers and embodied AI professionals worldwide.

APAC contact: apac-sales@agile-robots.com

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Agile Robots Brings Physical AI into the Real World - From Industrial Automation to Robot Training Data

Agile Robots Brings Physical AI into the Real World - From Industrial Automation to Robot Training Data

Agile Robots Brings Physical AI into the Real World - From Industrial Automation to Robot Training Data

Agile Robots Brings Physical AI into the Real World - From Industrial Automation to Robot Training Data

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