惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Engineering at Meta
Engineering at Meta
博客园_首页
J
Java Code Geeks
Jina AI
Jina AI
B
Blog RSS Feed
量子位
有赞技术团队
有赞技术团队
M
MIT News - Artificial intelligence
L
LangChain Blog
Microsoft Security Blog
Microsoft Security Blog
小众软件
小众软件
博客园 - 聂微东
月光博客
月光博客
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
Last Week in AI
Last Week in AI
MongoDB | Blog
MongoDB | Blog
I
InfoQ
罗磊的独立博客
H
Hackread – Cybersecurity News, Data Breaches, AI and More
爱范儿
爱范儿
Y
Y Combinator Blog
Vercel News
Vercel News
雷峰网
雷峰网

Interesting Engineering

US firm to scale laser-based nuclear fusion ‘breakthrough’ with new partnership Military Archives - Interesting Engineering World’s first non-nuclear lead-cooled reactor to generate electricity begins installation US scientists devise new process to turn sewage sludge into 99% pure natural gas US firm unveils submarine-hunting drone with 9,200-mile-range, 35 mph top speed Military Archives - Interesting Engineering Supercomputer finds lithium-titanium tweak to boost sodium-ion batteries for grids Lockheed Martin demonstrates vertical launch missile system for mobile drone defense China’s 1116 MWe Taipingling Unit 1 reactor goes online, set to generate 9bn kWh yearly ChatGPT Images 2.0 update combines reasoning, research, and design with 2K output US Navy tests plug-and-play laser system on USS Bush carrier, downs drones at sea China’s CATL reveals 621-mile EV battery, under-7-minute charging to challenge BYD US uses world’s first exascale supercomputer to model supernovae, fusion reactors AI and Robotics Archives - Interesting Engineering First-in-human study confirms safety of graphene-based brain interface Tesla’s Optimus humanoid robot greets runners, poses for photos at Boston Marathon Interlocking materials offer high strength and flexibility for robotics, infrastructure US redeploys 100,000-ton nuclear-powered aircraft carrier in Red Sea after repairs US scientists unveil concept for ‘world’s first neutrino laser’ to unlock breakthroughs New military tech can maintain communication in contested electronic warfare environments Got a dark personality? Psychologists can help you choose your career wisely Humidity boosts performance of 3D-printed nanogenerator instead of degrading it China demonstrates microwave beam that recharges drones in flight, continues power delivery Scientists run compact free-electron laser for eight hours, cracks FEL stability problem China’s PLA considers to use minelaying underwater drones to enforce Taiwan blockade: Report 1-ton sharks may struggle for survival in waters exceeding 62.6°F, study suggests US firm’s thorium nuclear fuel bundles move to manufacturing for commercial reactors Tesla hits 0% charge in remote Chilean desert as YouTuber uses hood-mounted solar Humanoid robot surpasses human world record in Beijing half-marathon, clocking 50:26 mins New method extracts maximum work from unknown quantum states using symmetry tricks
Hyundai showcases Atlas humanoid robot’s football skills ...
Bojan Stojkovski · 2026-05-30 · via Interesting Engineering

Ahead of the FIFA World Cup 2026, Hyundai Motor has unveiled “School of Football,” a new global campaign starring Boston Dynamics’ humanoid robot Atlas. Developed under the automaker’s “Next Starts Now” World Cup platform, the initiative uses football as a lens to showcase the next generation of human-centered robotics and artificial intelligence.

Rather than focusing on technical specifications or conventional demonstrations, the campaign follows Atlas as it explores the sport and the emotions, creativity, and passion that surround it. Through a series of narrative-driven films, the robot learns from human players and fans, illustrating how advanced robotic systems can move beyond purely functional tasks. 

Hyundai says the project is designed to highlight the growing potential for robots to develop greater adaptability, responsiveness, and forms of expression inspired by human behavior.

Atlas campaign reflects shift toward human-inspired robotics

According to Sungwon Jee, Executive Vice President and Global Chief Marketing Officer at Hyundai Motor Company, the “School of Football” campaign uses the global appeal of football to present a more accessible and human-centered vision of robotics. It also frames Atlas’ journey as a way to explore how future robotic systems can be shaped by human qualities such as creativity, passion, and self-expression, rather than being defined solely by technical capability. 

As anticipation builds for the FIFA World Cup 2026, the campaign is positioned as a reflection of Hyundai’s broader belief that advances in robotics and AI can expand the boundaries of human-machine interaction. The narrative of the campaign opens with the robot studying the emotions, intensity, and energy of football fans, an experience that sparks its curiosity about the game.

From there, Atlas moves into foundational training, learning core elements such as footwork, passing, and shooting. Each episode builds on the last, reflecting a step-by-step development process that mirrors human learning and adaptation. 

The series is designed to emphasize incremental growth rather than instant capability, framing robotics as a system that evolves through interaction and experience.

Emphasizing real-world robotics and engineering precision

At the center of the campaign is a demonstration of the next-generation electrically powered Atlas robot operating in real-world conditions. The film highlights “Physical AI” through embodied movement, with Atlas performing complex actions in dynamic, sport-inspired settings. Importantly, all sequences were executed without the use of computer-generated imagery (CGI), underscoring the authenticity of the performance and reinforcing the underlying engineering precision behind the platform.

One notable example is the advanced “Ghost Rabona” a cross-leg kicking move that requires precise timing, balance, and deceptive motion, making it far more complex than simple movement replication.

To execute it, Atlas studies detailed human football motion data and translates it into a physics-based simulation environment. The robot then trains through reinforcement learning, repeatedly refining its performance via trial and error to improve stability, accuracy, and execution quality.

Performing the move depends on a combination of advanced capabilities, including dynamic balance control in unstable and asymmetrical positions, full-body coordination across multiple joints and limbs, real-time adaptation to shifting weight and momentum, and precise motor control under physically constrained conditions.

Over the next period, Hyundai Motor will release additional behind-the-scenes content from its collaboration with Boston Dynamics, with the material set to explore the development and training behind Atlas’ movements, and offer technical insight into robotic learning and motion design.

Recommended Articles

The Blueprint

Get the latest in engineering, tech, space & science - delivered daily to your inbox.

Bojan Stojkovski is a freelance journalist based in Skopje, North Macedonia, covering foreign policy and technology for more than a decade. His work has appeared in Foreign Policy, ZDNet, and Nature.