Dyson's Newest Wet Floor Cleaner Is Available as of Today The debut follows the release of Dyson's newest robot vacuum and larger wet cleaner last week. Welcome to a new world of mopping options from Dyson. After announcing several new models last year at IFA Berlin, Dyson has begun rolling out its latest suite of vacuums and wet floor cleaners to the public. Last week, Dyson's newest robot vacuum, the Spot+Scrub Ai ($1,200), became available for purchase online, along with the Clean+Wash Hygiene ($500), one of the brand's new wet floor cleaners. The recently announced Dyson PencilWash ($350) is available as of today.

Figure 1: Sample scenes with 3d human poses projected onto camera views for each kitchen. A sample skeleton can be seen in Figure 2. frames: t; frame number in actual dataset time act: t 82; action annotations, where 1 determines an action and 0 its absence. On top of that, SMPL's shape parameter determines limb length ensuring that the body skeleton remains consistent across time. We bear all responsibility in case of violation of rights. Please note that the dataset can be used without the video data.

Heat pumps (HPs) have emerged as a cost-effective and clean technology for sustainable energy systems, but their efficiency in producing hot water remains restricted by conventional threshold-based control methods. Although machine learning (ML) has been successfully implemented for various HP applications, optimization of household hot water demand forecasting remains understudied. This paper addresses this problem by introducing a novel approach that combines predictive ML with anomaly detection to create adaptive hot water production strategies based on household-specific consumption patterns. Our key contributions include: (1) a composite approach combining ML and isolation forest (iForest) to forecast household demand for hot water and steer responsive HP operations; (2) multi-step feature selection with advanced time-series analysis to capture complex usage patterns; (3) application and tuning of three ML models: Light Gradient Boosting Machine (LightGBM), Long Short-Term Memory (LSTM), and Bi-directional LSTM with the self-attention mechanism on data from different types of real HP installations; and (4) experimental validation on six real household installations. Our experiments show that the best-performing model LightGBM achieves superior performance, with RMSE improvements of up to 9.37\% compared to LSTM variants with $R^2$ values between 0.748-0.983. For anomaly detection, our iForest implementation achieved an F1-score of 0.87 with a false alarm rate of only 5.2\%, demonstrating strong generalization capabilities across different household types and consumption patterns, making it suitable for real-world HP deployments.

A few years ago, I had the chance to check out the prototype of a reengineered robot vacuum called Matic. The founders, Mehul Nariyawala and Navneet Dalal, had one key insight: People don't care about super-powerful robot vacuums with cool tricks, incredible suction power, and huge docking stations, especially if it means that the vacuum is noisy, loud, or annoying to operate. For a robot vacuum to clean well, it has to be able to navigate a home like a human. That prompted a switch to the Nvidia Jetson Orin chip, which means the vacuum learns how to clean your house on its own. Combined with the fundamentally different hardware design, the result is a game-changing robot vacuum.

Are you ready to completely overhaul your floor cleaning routines? The eufy E28 and E25 have just landed, and we bet you're going to want one of these robotic cleaners delivered to your home sooner rather than later. Under pre-sale now, be sure to order and save your spot in line with these powerful units. The E25 and E28 are two brand-new models unveiled by the company. Both feature eufy's award-winning HydroJet mopping technology and deliver a jaw-dropping 20,000Pa suction power for a deep clean.

Robot vacuum cleaners take the drudge work out of cleaning your floors and carpets. No more tiresome weekly stints of vacuuming, and no more last-minute panic sessions when you have visitors on the way. Instead, your compact robot chum regularly trundles out from its dock, sucking up dust, hair and debris to leave your floors looking spick and span. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link.

Our household only recently discovered the glorious, hands-free reality of a AI-enabled, self-emptying robot vacuum, one that scooted expertly around our apartment, busting dust for weeks on end with little input from us. But even with our trusty Roomba busting dust left and right, we knew something was missing: The bot was only sweeping, not mopping. We'd long dismissed the idea of a robot mop--after all, the earliest ones did little more than drag a damp cloth across the floor. But robot mopping tech has advanced at a furious pace, with the latest robot vacuum-and-mop combos boasting mop heads that apply downward pressure and lift themselves to avoid carpets, while base stations can clean the mop pads themselves--with hot water, no less. Could a vacuum-and-mop robot really measure up to a standard stick mop?

With its latest vacuum (most recently presented at IFA), Shark attempts to solve two major problems. The first is that in many cases, simply lifting the mop pads over the floor often isn't enough to keep the yucky wet mop pad from dragging on your nice clean carpet. That's why the newest Shark robot vacuum has a mop plate that automatically detaches when you're vacuuming. The second, and more interesting problem, is that robot vacuums tend to get stuck on little ledges or rugs in your house. That's why the Shark now has what I have been referring to as a "booty hitch," to hump itself over obstacles in its path.

In the advanced field of bio-inspired robotics, the emergence of cyborgs represents the successful integration of engineering and biological systems. Building on previous research that showed how electrical stimuli could initiate and speed up a jellyfish's movement, this study presents a groundbreaking approach that explores how the natural embodied intelligence of the animal can be harnessed to address pivotal challenges such as spontaneous exploration, navigation in various environments, control of whole-body motion, and real-time predictions of behavior. We have developed a comprehensive data acquisition system and a unique setup for stimulating jellyfish, allowing for a detailed study of their movements. Through careful analysis of both spontaneous behaviors and behaviors induced by targeted stimulation, we have identified subtle differences between natural and induced motion patterns. By using a machine learning method called physical reservoir computing, we have successfully shown that future behaviors can be accurately predicted by directly measuring the jellyfish's body shape when the stimuli align with the animal's natural dynamics. Our findings also reveal significant advancements in motion control and real-time prediction capabilities of jellyfish cyborgs. In summary, this research provides a comprehensive roadmap for optimizing the capabilities of jellyfish cyborgs, with potential implications in marine reconnaissance and sustainable ecological interventions.