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The greatest invention in pet tech in recent years is the litter robot. A machine that scoops your kitties' poop so you don't have to - what else could a cat owner possibly want? How about insights into your kitty's litter box usage that could flag health issues? Sign me up. But I have two […]
The Unitree G1 has found online fame as a relatively affordable robot that can charm a crowd. But can it ever hold down a real job?
The partnership is expanding beyond the initial market of Zagreb, Croatia to four additional European cities.
Robot lawnmowers are finally good enough to take a lot of work out of maintaining a yard, but they’re still not set-it-and-forget-it machines. If you don’t want these autonomous cutting machines to tear up your lawn or go roaming in your neighbors’ yard, you’re still going to need to keep an eye on them. But […]
Matic, my current favorite robot vacuum, just got a big upgrade. The company has launched Matic Cues, which brings voice and gesture control to the robot. Now, you can talk directly to your vacuum to tell it what you want it to do, or just point at a mess to have it spot-clean. The feature […]
Bartesian's cocktail makers would be best described like a Keurig or Nespresso machine, but for alcoholic drinks.
The Mission Robotic Vehicle is making the first attempt to attach a new thruster to an aging satellite.
The divestiture comes as the two once-tight companies have started to diverge on the business side.
"Smile because it happened" — Dr. Seuss The Setup Earlier this year, I took on a short-term trial role with an early-stage robotics startup. The premise was straightforward: help with data collection, annotation, and evaluation workflows—essentially the backbone of any modern robotics or embodied-AI system. The trial didn't work out long-term. I was let go after about two months — a decision that, honestly, came down in part to my bandwidth as a student. Balancing a full course load with a startup trial was harder than I anticipated. But that's not the story I want to tell. What I do want to share are the technical lessons I took away — lessons about building robust data pipelines, about the gap between theory and practice, and about what I'd do differently next time. These aren't company secrets. They're about the general engineering challenges that anyone working with robotics data pipelines will encounter — challenges I'd read about in papers but hadn't truly internalized until I was standing in front of them. 1. The Data Pipeline Shape Is Universal—But the Details Aren't If you've spent any time in ML or robotics, you've seen this described: Data Collection → Annotation → Evaluation It's a standard three-stage pipeline. Industry vendors describe it explicitly in their robotics content. Academic projects model this structure. It's the field's shared vocabulary. Companies such as Scale AI and Toloka use similar industry workflows involving data collection, annotation, and evaluation. What isn't shared are the specifics: the sensor setup, the calibration procedures, the annotation rubric, and the evaluation metrics. Those are where a company's IP lives. The pipeline shape? That's just the map. And the map is public. What I'd do differently: Simulate before you collect. Data collection is expensive — in time, hardware wear, and cognitive load on operators. Before running a full session, run a feasibility study with a small batch. Verify your sync and capture scripts
This marks the official launch of Zoox's commercial operations.
Waymo has dropped the waitlist for its robotaxi service in Dallas, the latest step in the company's bid to scale its self-driving technology across the United States, U.K., and Europe.
Ati Robotics assembles its robots in India and uses just a few Chinese parts—a strategy that could pay off as the Trump administration cracks down on Chinese humanoids.
No other gadget knows as much about your home as a robot vacuum. They map your space, learn your routines, and many now carry a camera and microphone into every room in your house. As AI gives them a better understanding of what they see, the privacy and security risks these autonomous robots pose are […]
July 2026 is over. The month that opened with AUTONOMOUS 2026 and WAIC 2026 running simultaneously on opposite sides of the Pacific closed with the sector tallying what it built. The number that defines the period is $55.8 billion in robotics funding across H1 - nearly double the prior full-year record. But the more durable signal from this week is operational rather than financial: Neura Robotics has a confirmed deployment date at a Schaeffler facility in December, NVIDIA's simulation-to-real pipeline is now functional at production scale, and five simultaneous shifts are reshaping factory floors right now, not in 2027. The questions that drove the first half of 2026 - does Physical AI work, is the funding real, will the robots actually arrive - are no longer interesting. H2 starts with harder ones. Stats: Value Description $55.8B Robotics funding raised in H1 2026, nearly double the prior annual record $8.6B Humanoid startup funding in H1 2026 alone, 1.8x all of 2025 December 2026 Confirmed first deployment of Neura Robotics humanoids at Schaeffler's German facilities 5 Simultaneous operational shifts reshaping factory floors identified in the mid-2026 analysis Neura Robotics Has a Deployment Date: December 2026 in a Schaeffler Factory Most Physical AI deployment announcements are directional. "We are partnering with X to explore robotics in our facilities" is a press release. A confirmed month and a specific facility is a contract. Neura Robotics confirmed that Schaeffler - one of the key investors in its $1.4 billion Series C alongside Amazon, Nvidia, Qualcomm, and the European Investment Bank - plans to deploy Neura's humanoids in its German facilities in December 2026 . Schaeffler manufactures precision bearings and components for electric vehicles, operating in environments where dimensional tolerances are measured in micrometers. Deploying a humanoid robot in that context is a fundamentally different challenge than warehouse pick-and-place or automotive sequ
A new restriction on foreign-made mobile robots affects robotic vacuums, pool cleaners, and lawn mowers. Here’s what it means for the bots already in your home—and the ones you may never get to buy.
Researchers fear AI is moving too fast, while Mark Zuckerberg is worried about who owns it. Plus: Inside Black Forest Labs’ push into robotics.
Gemini Robotics 2 includes three models, but only one is publicly available right now.
Google DeepMind says the latest version of its Gemini Robotics AI model can "control entire humanoid robots." While the previous model focused on controlling a humanoid robot's upper body, Gemini Robotics 2 now supports "whole-body motions" ranging from its feet to fingertips, according to an announcement on Thursday. The new model will allow humanoid robots […]
The latest version of Google DeepMind's AI model includes a significant jump into “physical AGI.” But plopping AI into the real world comes with risks.
Federal safety regulators have given Zoox a temporary exemption that will allow the Amazon-owned autonomous vehicle technology company to charge customers for rides in its custom-built robotaxi.