BMW Group deploys Figure 03 humanoid with tactile-sensor hands, palm cameras, wireless charging, and speech-to-speech audio
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BMW Group deploys Figure 03 humanoid with tactile-sensor hands, palm cameras, wireless charging, and speech-to-speech audio

The BMW Group said it gained important experience with humanoid robots at Plant Spartanburg in 2025. Figure 02 supported the production of more than 30,000 BMW X3 vehicles. In the body shop, the robot inserted sheet-metal parts for the welding process, a task that demands high speed and accuracy and that can be physically demanding.

“Our 11-month deployment of Figure 02 proved that humanoids are no longer lab experiments — they can be a valuable asset in establishing a flexible, reliable manufacturing workforce,” stated Brett Adcock, founder and CEO of Figure AI. “We are excited to continue our work in Spartanburg as Figure tackles the complexity of the assembly and logistics hall.”

https://youtu.be/Eu5mYMavctM?is=kDPp80bhnOhexGFR

The automaker last week announced that, following its successful deployment with Figure 02 at its plant in Spartanburg, S.C., it will deploy the company’s latest Figure 03 robot.

“The robot introduces several new features for expanded applications. These include soft components designed for enhanced safety, wireless charging designed for higher availability, and audio functions for speech-to-speech communication, along with improved hands with tactile sensors and palm cameras designed to increase precision and dexterity."

https://www.therobotreport.com/bmw-group-deploys-figure-03-humanoid-after-tests-previous-version/

u/HenryGCase — 3 hours ago
▲ 214 r/robots+3 crossposts

Hotel staffed entirely by robots opens next year

A 44-room “full scenario robot-serviced” hotel is being build on the West Artificial Island of the Shenzhen-Zhongshan Link in China. A limited trial is supposed to start late this year, with full public opening coming in 2027.

Robots will handle reception, check-in, luggage, deliveries, room service, cleaning, food service, guest support, security and even guest interaction and companionship.

Pudu Robotics and Shenzhen Culture & Tourism Industry Development have officially signed a strategic cooperation agreement to jointly develop the world's first full-scenario robot-serviced hotel.

To showcase the vision behind the project, Pudu Robotics transformed the signing ceremony into a live demonstration of future hotel operations, presenting a comprehensive portfolio of robotic solutions operating together in a hospitality setting.

The PUDU T300 demonstrated heavy-duty luggage transportation and autonomous elevator interaction, highlighting its 300-kilogram payload capability. Meanwhile, the PUDU CC1 Pro and PUDU MT1 cleaning robots performed real-time cleaning operations throughout the venue, demonstrating AI-native waste detection and autonomous floor maintenance. BellaBot Pro served freshly brewed coffee to guests while interacting through voice and lighting effects, while KettyBot Pro continuously delivered refreshments and snacks throughout the event while displaying event information on its advertising screen.
 
The showcase concluded with interactive performances from PUDU D5, offering attendees a glimpse of how robotics can create engaging and memorable guest experiences beyond operational efficiency.

https://youtu.be/nDwZ8Wq\_YXw?is=B9VFHrADSJz3D2N-

u/Anen-o-me — 1 day ago
▲ 1.0k r/shittyrobots+2 crossposts

Lesson learned: easy-to-access off switch is important

Footage likely features a Unitree G1 humanoid robot, which has gained attention for its advanced stability and combat-related routines.

u/HenryGCase — 2 days ago
▲ 11 r/shittyrobots+2 crossposts

Autonomous Heavy Machinery

Bulk material handling is a critical, labor-intensive operation across various industries, traditionally performed by human operators using heavy hydraulic manipulators equipped with free-swinging, underactuated grippers. This work presents the first complete autonomous material-handling solution deployed on a real-world 40-ton material handler.

https://arxiv.org/abs/2508.09003

youtu.be
u/HenryGCase — 5 days ago
▲ 249 r/shittyrobots+3 crossposts

Ukraine Wants Robots To Fight Its Ground War

Across Ukraine's front line, soldiers are staying behind while machines go forward. Ground robots are hauling ammunition, evacuating wounded troops, laying mines, and increasingly carrying weapons into combat as Ukraine tries to replace as many frontline tasks as possible with machines.

The effort is accelerating rapidly. In April, President Volodymyr Zelensky ordered the military to field at least 50,000 unmanned ground vehicles (UGVs) in 2026, calling them "the next big step" in saving soldiers’ lives.

https://www.forbes.com/sites/davidkirichenko/2026/06/30/ukraine-wants-robots-to-fight-its-ground-war/

u/HenryGCase — 5 days ago
▲ 696 r/shittyrobots+4 crossposts

People being paid to record everyday tasks to build the datasets needed to train robots

A phone strapped to her head, Sriramyachandra films herself doing household works to train AI robots. Photo: AFP

Sriramyachandra, who lives in Chennai in Tamil Nadu, earns a little over two dollars for every hour of footage she records. While the work may appear simple, the data she generates is considered highly valuable by global technology companies seeking to teach robots how humans move and interact with real-world environments.

Meet the Indians teaching robots real-world skills https://www.indianweekender.co.nz/news/meet-the-indians-teaching-robots-real-world-skills

u/HenryGCase — 6 days ago
▲ 749 r/urbandesign+6 crossposts

Meanwhile in China autonomous last mile delivery is already part of everyday life

Major logistics and technology platforms—including Cainiao (Alibaba's logistics wing), DiDi, and tech developers like Neolix—have collectively deployed over 10,000 of these driverless vans across China.

u/Anen-o-me — 4 days ago
▲ 706 r/EmergingSociety+1 crossposts

Brain Organoids Controlling Virtual Bodies and Robots Create Risks of Sentient Biological Computing Systems and Military-Linked Mind-Machine Convergence

Researchers grow clusters of human brain cells in laboratories and link them to sensory signals from virtual game environments or physical robots. The organoids process incoming data and direct movement such as guiding a virtual butterfly or steering a small wheeled device without any prior training or programming. The tissue adapts directly to the input it receives, allowing the hybrid system to function as a basic controller. Earlier experiments used rat brain tissue to operate robots as far back as 2008, and the same principle now applies to human-derived cells placed inside simulated worlds or real machines.

A Swiss company markets these organoids through a subscription service that lets customers rent batches of sixteen tiny brains to perform computational work. Military funding has supported related projects that place organoids inside virtual settings, which speeds development while embedding the work inside defense research priorities from the start. The model turns living neural tissue into a rentable processing resource that operates alongside or instead of conventional silicon hardware under certain conditions.

Human neural tissue used for machine control carries concrete risks because organoids display spontaneous electrical patterns that resemble early brain activity. When these systems receive continuous sensory input and issue commands back to virtual or physical bodies, unexpected response patterns can emerge that researchers did not design or anticipate. Military involvement increases the chance that similar setups could be adapted for surveillance, targeting assistance, or influence operations where biological components interface directly with data networks. Subscription access lowers the barrier for additional groups to run parallel experiments, which raises the possibility that unregulated versions appear in less controlled environments where safety standards are weaker or absent.

Progress from simple rat-brain robots to human organoid agents that operate inside virtual worlds occurred in roughly fifteen years and continues to accelerate. Direct connections between living brain tissue and machines point toward future interfaces that could read signals from or send signals into larger neural systems. Once biological components operate inside computational loops, reversal or precise containment becomes difficult because the living tissue keeps changing in response to its environment. Without uniform limits on who can build or scale these hybrids, the same techniques could support applications where cognitive processes inside biological material influence real-world actions in ways that remain hard to predict or shut down.

​

This piece examines how brain organoid systems developed for computation and control carry dual-use implications through military funding, potential sentience in biological processors, subscription accessibility, and rapid movement toward mind-machine interfaces with unclear containment.

u/CollapsingTheWave — 21 days ago
▲ 64 r/robots+1 crossposts

this robot has been trying to sell me something for the past 5 minutes

this was at a mall in Shanghai, China.

u/HenryGCase — 27 days ago
▲ 107 r/BGMStock+1 crossposts

Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000

u/HenryGCase — 2 months ago
▲ 3.2k r/EmergingSociety+4 crossposts

Two economists just published a mathematical proof that AI will destroy the economy.

Not might. Not could. Will!

The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence:

"At the limit, firms automate their way to boundless productivity and zero demand."

An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.

Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs which means automating more workers, which means less spending and that means more falling demand, which means more automation.

The loop has no exit.

The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.

Every single one failed in the model.

No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly:

"Within the next year, the majority of companies will reach the same conclusion."

Two economists built the math, the math leads to one place. COMPLETE COLLAPSE!

Source: Falk & Tsoukalas · Wharton School + Boston University: arxiv.org/pdf/2603.20617

u/HenryGCase — 2 months ago