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A very serious guide to buying your own humanoid robot butler

New Scientist

You can now buy a humanoid robot housekeeper for less than the price of a second-hand car. But before splashing out, there's something you need to know Science fiction is strewn with humanoid robots, from bad-tempered Bender in to cunning Ava in . And it has long seemed like that's the natural home for such robots - on the screen and in books. The idea of a walking, talking, functioning robot with two arms and two legs has appeared to be a distant dream. Last year, machines ran, boxed and even played football at China's World Humanoid Robot Games, albeit sometimes falling over in the process . Meanwhile, companies have been readying their own range of humanoids that promise to do something a bit more useful: help around the house .


Humanoid home robots are on the market – but do we really want them?

Robohub

Humanoid home robots are on the market - but do we really want them? Last year, Norwegian-US tech company 1X announced a strange new product: "the world's first consumer-ready humanoid robot designed to transform life at home". Standing 168 centimetres tall and weighing in at 30 kilograms, the US$20,000 Neo bot promises to automate common household chores such as folding laundry and loading the dishwasher. Neo has a built-in artificial intelligence (AI) system, but for tricky tasks it requires a 1X employee wearing a virtual reality helmet to remotely take over the robot. The operator can see whatever the bot does inside your house, and the process is recorded for future learning.


Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Anonymous Author(s) Affiliation Address email Appendix 1 A Experimental environments 2 We use the VirtualHome simulator [

Neural Information Processing Systems

A.1 List of objects, containers, surfaces, and rooms in the apartment We list all the objects that are included in our experimental environment. We use the object rearrangement tasks for evaluation. The tasks are randomly sampled from different distributions. Simple: this task is to move one object in the house to the desired location. Novel Simple: this task is to move one object in the house to the desired location.




5 home innovations that improved our lives in 2025

Popular Science

Technology Best of What's New 5 home innovations that improved our lives in 2025 We may earn revenue from the products available on this page and participate in affiliate programs. When you live with small annoyances, frustration can build over time. You can only catch your belt loop on a drawer handle so many times before you hit your limit. Several of this year's home innovations address those seemingly small hurdles that can make a big difference in your home life. The monthly chore of replacing an air filter and the seemingly simple task of finding a place to store the lawn mower when not in use get clever solutions.


This Home Robot Clears Tables and Loads the Dishwasher All by Itself

WIRED

Sunday Robotics has a new way to train robots to do common household tasks. The startup plans to put its fully autonomous robots in homes next year. Memo may not be the world's fastest barista, but it is impressive--for a robot. I recently watched as Memo, a new home robot from a company called Sunday Robotics, made coffee in an open-plan kitchen in Mountain View, California. Memo looks like something out of Wall-E, with a gleaming white body, two arms, a friendly cartoonish face, and a red baseball cap.


Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Anonymous Author(s) Affiliation Address email Appendix 1 A Experimental environments 2 We use the VirtualHome simulator [

Neural Information Processing Systems

A.1 List of objects, containers, surfaces, and rooms in the apartment We list all the objects that are included in our experimental environment. We use the object rearrangement tasks for evaluation. The tasks are randomly sampled from different distributions. Simple: this task is to move one object in the house to the desired location. Novel Simple: this task is to move one object in the house to the desired location.



Supplementary Materials: Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context

Neural Information Processing Systems

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.