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To encode structure, FactoredScenes learns are dra a wn, library then of uses functions large language capturing models reusable to generate layout patterns high-lev from el programs, which scenes regularized a program-conditioned by the learned library model . T to o represent hierarchically scene predict variations, object FactoredScenes poses, and retrie learns ves and real-w places orld 3D rooms objects that in are a dif scene.
Ikea's New Designer Collection Is Home-Office Heaven
Ikea's New Designer Collection Is Home-Office Heaven From a twisty lamp to a bendy clock, the Swedish company's full 2026 PS Collection has dropped. It's a boon for those looking to refine their homes and workstations. Now that the hubbub of the cat-tested blow-up chair has calmed down, Ikea has taken the wraps off the rest of its latest PS Collection (which stands for Post Scriptum). Consisting of 44 pieces, including the viral inflatable PS 2026 Easy Chair, the furniture brand says the theme of the 2026 PS Collection is playful functionality. The new PS Collection (available in stores from May 14, then online from May 22) has not one but two options for accommodating impromptu sleepovers.
Australia's beloved weather website got a makeover - and infuriated users
Australia's beloved weather website got a makeover - and infuriated users It was an unseasonably warm spring day in Sydney on 22 October, with a forecast of 39C (99F) - a real scorcher. The day before, the state of New South Wales had reported its hottest day in over a century, a high of 44.8C in the outback town of Bourke. But little did the team at the national Bureau of Meteorology foresee that they, in particular, would soon be feeling the heat. Affectionately known by Australians as the Bom, the agency's long-awaited website redesign went live that morning, more than a decade after the last update. Within hours, the Bom was flooded with a deluge of complaints.
Hibikino-Musashi@Home 2025 Team Description Paper
Kobayashi, Ryohei, Isomoto, Kosei, Yamao, Kosei, Fumoto, Soma, Arimura, Koshun, Yamaguchi, Naoki, Mizutani, Akinobu, Shiba, Tomoya, Kimizuka, Kouki, Ohno, Yuta, Terashima, Ryo, Yamaguchi, Hiromasa, Fujino, Tomoaki, Maruno, Ryoga, Yoshimura, Wataru, Mine, Kazuhito, Nhan, Tang Phu Thien, Yano, Yuga, Tanaka, Yuichiro, Nishida, Takeshi, Morie, Takashi, Tamukoh, Hakaru
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team developed a dataset generator for training a robot vision system and an open-source development environment running on a Human Support Robot simulator. The large-language-model-powered task planner selects appropriate primitive skills to perform the task requested by the user. Moreover, the team has focused on research involving brain-inspired memory models for adaptation to individual home environments. This approach aims to provide intuitive and personalized assistance. Additionally, the team contributed to the reusability of the navigation system developed by Pumas in RoboCup2024. The team aimed to design a home service robot to assist humans in their homes and continuously attend competitions to evaluate and improve the developed system.
Co-Layout: LLM-driven Co-optimization for Interior Layout
Xiang, Chucheng, Bao, Ruchao, Feng, Biyin, Wu, Wenzheng, Liu, Zhongyuan, Guan, Yirui, Liu, Ligang
We present a novel framework for automated interior design that combines large language models (LLMs) with grid-based integer programming to jointly optimize room layout and furniture placement. Given a textual prompt, the LLM-driven agent workflow extracts structured design constraints related to room configurations and furniture arrangements. These constraints are encoded into a unified grid-based representation inspired by ``Modulor". Our formulation accounts for key design requirements, including corridor connectivity, room accessibility, spatial exclusivity, and user-specified preferences. To improve computational efficiency, we adopt a coarse-to-fine optimization strategy that begins with a low-resolution grid to solve a simplified problem and guides the solution at the full resolution. Experimental results across diverse scenarios demonstrate that our joint optimization approach significantly outperforms existing two-stage design pipelines in solution quality, and achieves notable computational efficiency through the coarse-to-fine strategy.
Is a Robot Vacuum Worth It?
Is a Robot Vacuum Worth It? It's not for everyone, but sometimes my robot vacuum is my only friend. Every single day--weekend, weekday, rain or shine--whichever robot vacuum I'm currently testing starts running at 9 am. I heave a sigh of relief and continue with whatever else I was doing, content that at least f*cking chore in my house is getting done. When I first started testing robot vacuums eight years ago, it sometimes seemed like more trouble than it was worth. I cleaned up the floor .
The Biggest Fall Deals at Home Depot (2025)
All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. Fall is for nesting--and for feathering your nest with whatever will keep you sane during the winter. Which is why a number of retailers, including The Home Depot, drop prices on home goods with big fall deals. The Home Depot fall savings event for 2025 is unusually broad, because The Home Depot itself is unusually broad--the store that first brought the home improvement superstore nationwide.