South Korea Team Showcases Drone That Serves as ‘Flying Shopping Cart’

 Park Hyun-geun, a graduate student of Mechanical Design and Robot Engineering at Seoul National University of Science and Technology (Seoul Tech), demonstrates the aerial transportation platform "Palletrone" on stairs at the Seoul Tech in Seoul, South Korea, October 10, 2024. (Reuters)
Park Hyun-geun, a graduate student of Mechanical Design and Robot Engineering at Seoul National University of Science and Technology (Seoul Tech), demonstrates the aerial transportation platform "Palletrone" on stairs at the Seoul Tech in Seoul, South Korea, October 10, 2024. (Reuters)
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South Korea Team Showcases Drone That Serves as ‘Flying Shopping Cart’

 Park Hyun-geun, a graduate student of Mechanical Design and Robot Engineering at Seoul National University of Science and Technology (Seoul Tech), demonstrates the aerial transportation platform "Palletrone" on stairs at the Seoul Tech in Seoul, South Korea, October 10, 2024. (Reuters)
Park Hyun-geun, a graduate student of Mechanical Design and Robot Engineering at Seoul National University of Science and Technology (Seoul Tech), demonstrates the aerial transportation platform "Palletrone" on stairs at the Seoul Tech in Seoul, South Korea, October 10, 2024. (Reuters)

South Korean researchers have developed a transport drone flying on multiple flexible rotors that self-correct to stay level in flight and can be used as a "flying shopping cart" to carry goods over uneven terrain such as stairs.

The prototype developed by a Seoul National University of Science and Technology team has a cargo platform mounted on top of a multi-rotor drone and is handled by a person using gentle force to guide the hovering aircraft.

Members of the team demonstrated the hovering platform with a handlebar much like one on a push shopping cart moving objects up and down stairs and loading boxes on top as it hovered mid-air and maintained its balance by using a center of mass estimation algorithm.

To move objects over uneven terrain or stairs when a wheeled cart cannot, the drone responds to human control with what the developers call a physical human-robot interaction technique that anticipates human intentions for smooth flight, said Lee Seung-jae, professor of mechanical system design engineering.

But the broader focus of Lee's team is not on developing a shopping cart to be used over steps, but instead on applications that would use a drone with reliable horizontal stability without pitching and rolling.

"The Palletrone can be more than a flying shopping cart," he said, referring to the name the team gave the prototype by joining the words pallet, which is the platform for cargo on top, and drone.

Lee's team has tested a platform to carry objects up to 3 kg (6.6 lbs), and concedes commercial applications for cargo transportation at such a small weight easily carried by humans is limited.

Still, the mechanism that allows the drone to change directions in flight without banking and to maintain level attitude has applications for delivering sensitive or fragile payloads, Lee said.

But Lee's team is looking further ahead for the technology's potential use for uncrewed "flying taxis" carrying humans and for drones to be "refueled" mid-air, by changing batteries so the aircraft do not need to return to base for a fresh charge.

Multi-rotor drones are inherently limited in speed and range compared to fixed-wing drones but have better control and maneuverability, including the ability to hover in flight.

They have been used to deliver cargo, food and medical supplies, but commercial applications have been limited largely because it is impractical to increase the size of the battery enough to transport a heavier payload over a longer distance.

Seoul Tech's work was published in IEEE Robotics and Automation Letters this year, the publication of the Institute of Electrical and Electronics Engineers based in New York.



Google Hires Windsurf Execs in $2.4 Billion Deal to Advance AI Coding Ambitions

FILE PHOTO: A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. REUTERS/Carlos Barria/File Photo
FILE PHOTO: A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. REUTERS/Carlos Barria/File Photo
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Google Hires Windsurf Execs in $2.4 Billion Deal to Advance AI Coding Ambitions

FILE PHOTO: A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. REUTERS/Carlos Barria/File Photo
FILE PHOTO: A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. REUTERS/Carlos Barria/File Photo

Alphabet's Google has hired several key staff members from AI code generation startup Windsurf, the companies announced on Friday, in a surprise move following an attempt by its rival OpenAI to acquire the startup.

Google is paying $2.4 billion in license fees as part of the deal to use some of Windsurf's technology under non-exclusive terms, according to a person familiar with the arrangement. Google will not take a stake or any controlling interest in Windsurf, the person added.

Windsurf CEO Varun Mohan, co-founder Douglas Chen, and some members of the coding tool's research and development team will join Google's DeepMind AI division, Reuters reported.

The deal followed months of discussions Windsurf was having with OpenAI to sell itself in a deal that could value it at $3 billion, highlighting the interest in the code-generation space which has emerged as one of the fastest-growing AI applications, sources familiar with the matter told Reuters in June.

OpenAI could not be immediately reached for a comment.

The former Windsurf team will focus on agentic coding initiatives at Google DeepMind, primarily working on the Gemini project.

"We're excited to welcome some top AI coding talent from Windsurf's team to Google DeepMind to advance our work in agentic coding," Google said in a statement.

The unusual deal structure marks a win for backers for Windsurf, which has raised $243 million from investors including Kleiner Perkins, Greenoaks and General Catalyst, and was last valued at $1.25 billion one year ago, according to PitchBook.

Windsurf investors will receive liquidity through the license fee and retain their stakes in the company, sources told Reuters.

'ACQUIHIRE' DEALS

Google's surprise swoop mirrors its deal in August 2024 to hire key employees from chatbot startup Character.AI.

Big Tech peers, including Microsoft, Amazon and Meta, have similarly taken to these so-called acquihire deals, which some have criticized as an attempt to evade regulatory scrutiny.

Microsoft struck a $650 million deal with Inflection AI in March 2024, to use the AI startup's models and hire its staff, while Amazon hired AI firm Adept's co-founders and some of its team last June.

Meta took a 49% stake in Scale AI in June in the biggest test yet of this increasing form of business partnerships.

Unlike acquisitions that would give the buyer a controlling stake, these deals do not require a review by US antitrust regulators. However, they could probe the deal if they believe it was structured to avoid those requirements or harm competition. Many of the deals have since become the subject of regulatory probes.

The development comes as tech giants, including Alphabet and Meta, aggressively chase high-profile acquisitions and offer multi-million-dollar pay packages to attract top talent in the race to lead the next wave of AI.

Windsurf's head of business, Jeff Wang, has been appointed its interim CEO, and Graham Moreno, vice president of global sales, will be president, effective immediately.

The majority of Windsurf's roughly 250 employees will remain with the company, which has announced plans to prioritize innovation for its enterprise clients.