Japanese Robot to Clock in at a Convenience Store in Test of Retail Automation

Telexistence's shelf-stacking avatar robot, designed to resemble a kangaroo, is seen during a photo opportunity ahead of its unveiling in Tokyo, Japan July 3, 2020. (Reuters)
Telexistence's shelf-stacking avatar robot, designed to resemble a kangaroo, is seen during a photo opportunity ahead of its unveiling in Tokyo, Japan July 3, 2020. (Reuters)
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Japanese Robot to Clock in at a Convenience Store in Test of Retail Automation

Telexistence's shelf-stacking avatar robot, designed to resemble a kangaroo, is seen during a photo opportunity ahead of its unveiling in Tokyo, Japan July 3, 2020. (Reuters)
Telexistence's shelf-stacking avatar robot, designed to resemble a kangaroo, is seen during a photo opportunity ahead of its unveiling in Tokyo, Japan July 3, 2020. (Reuters)

In August, a robot vaguely resembling a kangaroo will begin stacking sandwiches, drinks and ready meals on shelves at a Japanese convenience store in a test its maker, Telexistence, hopes will help trigger a wave of retail automation.

Following that trial, store operator FamilyMart says it plans to use robot workers at 20 stores around Tokyo by 2022. At first, people will operate them remotely - until the machines’ artificial intelligence (AI) can learn to mimic human movements. Rival convenience store chain Lawson is deploying its first robot in September, according to Telexistence.

“It advances the scope and scale of human existence,” the robot maker’s chief executive, Jin Tomioka, said as he explained how its technology lets people sense and experience places other than where they are.

The idea, dubbed telexistence, was first proposed by the start up’s co-founder, University of Tokyo professor Susumu Tachi, four decades ago.

Their company has received funding from technology investment company Softbank Group and cell phone service operator KDDI in Japan, with overseas investors including European passenger aircraft maker Airbus SE. It dubbed its robot the Model T, a nod to the Ford Motor car that began the era of mass motoring a century ago.

Its quirky design is meant to help shoppers feel at ease because people can feel uncomfortable around robots that look too human.

Escaping factories
Robots are still a rare sight in public. Although they can outperform humans in manufacturing plants built around them, they struggle with simple tasks in more unpredictable urban settings.

Solving that performance problem could help businesses in industrialized nations, particularly those in rapidly ageing Japan, cope with fewer workers. Firms hit by the coronavirus outbreak may also need to operate with fewer people.

Since the outbreak started, hotels, restaurants and even gas and oil companies have contacted Telexistence, Tomioka said.

“It’s difficult to tell now what impact robots might have in restaurants - it could mean fewer people, but it could also create new jobs,” said Niki Harada, an official at Japan’s Restaurant Workers Union.

Using human operators with virtual reality goggles and motion-sensor controls to train its machines slashes the cost of retail robotics compared with complex programming that can cost 10 times more than as the hardware and take months to complete, Telexistence says.

Although FamilyMart will still need humans to control its robots, operators can be anywhere and include people who would not normally work in stores, said Tomohiro Kano, a general manager in charge of franchise development.

“There are about 1.6 million people in Japan, who for various reasons are not active in the workforce,” he said.

Future telexistence robots could also be used in hospitals so doctors could perform operations from remote locations, predicted Professor Takeo Kanade, an AI and robotics scientist at Carnegie Mellon University in the United States, who joined Telexistence in February as an adviser.

It might take another 20 years before robots can work in people’s homes, however, he said.

“In order for robots to be really usable at home we really have to be able to communicate. The fundamental thing that is lacking is knowing how humans behave.”



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.