The robots with artificial intelligence are ceasing to be laboratory prototypes and are becoming integrated into everyday spaces. From the home kitchen to the hotel counter, various proposals - such as those presented at events on humanoid robots and advanced automation— show that autonomy and understanding of the environment have taken a qualitative leap.
This progress has a common thread: AI systems capable of learn from human observation, interact with natural language and execute precise movements, as shown by manufacturers who They are betting on humanoid robots. However, reasonable doubts arise about privacy, reliability and security, while manufacturers fine-tune prices and features to reach more users.
A humanoid that learns to use the dishwasher
Figure has shown how his humanoid (Figure 02 It is able to load plates, glasses and bowls into a dishwasher with the help of Helix, a model of Vision-Language-Action (VLA) which translates the understanding of the scene into concrete movements, a milestone reminiscent of cases such as Walker S2The company maintains that the system operates with a centimeter precision, enough to perform the task consistently.
For a robot, gripping fragile objects, applying adequate strength, orienting each piece and placing it in the correct place is a huge challenge. The key to Helix is ​​that learn by observing people and does not require programming each gesture step by step, which allows it to adapt, correct errors and even recover from small knocks or unforeseen collisions.
Progress has been incremental: after its presentation, the team showed in June online package sorting, in July CEO Brett Adcock posted a video of himself loading clothes into a washing machine and, in August, the robot folded towels following voice commandsNow, by adding dishwashing, Figure reinforces the idea that a single AI brain can power very different tasks.
Experts consulted celebrate the direction towards multifunctional home assistants, but remember that more complex tasks - such as the use of robot vacuum cleaners, taking out the trash or cooking with precision—still require a higher level of robustness, perception and fine control before becoming routine.
Social robots that want to live with you
In the field of domestic companions, TCL has presented Oh Me, a small robot designed to generate closeness and take care of the home, evoking others social robotsThe brand directs it to natural interactions and emotional company, with a warm voice, expressions in the eyes and a padded exterior that invites contact without neglecting the function of home surveillance.
Its modular design includes Baby Core (recognizes expressions and voices for empathic responses), Drive Core (autonomous movement base and charging station) and Mini Core (portable module to accompany the user, capture photos and maintain continuous connection). This approach seeks a robot that grows with the family and adapts to different times of the day.
TCL emphasizes aesthetic and customization aspects with accessories and colors, and claims not to market data to third parties. Still, as is logical with connected devices, questions persist about Data Protection and processing control, especially if the robot becomes an ever-present element in the home.
Hotels that combine robots and humans
At the reception of some hotels, AI robots are starting to become common to cover long shifts and alleviate staff shortages. The Japanese chain Henn na Hotels has been experimenting for years with assistants who serve in the client language and respond to narrow queries; curious problems from the past - such as confusing snoring with requests— have been polished with new versions.
Industry executives point out that the combination of More affordable AI and cheaper hardware is bringing these systems closer to mid-range establishments. Still, most are opting for a human-robot mix that balances personal touch with automation, reserving back-office tasks for machines—from logistics to floor cleaning— and keeping people in sensitive interactions with the host.
What remains to be resolved
Although the learning curve is promising, challenges remain in quality control, operational security and expectation management. General autonomy—moving from guided tasks to a broad and reliable repertoire in unstructured environments—requires advances in multimodal perception, robust reasoning and manipulation, as well as clear frameworks for privacy and governance.
With each new demonstrated capability—of dishwasher upon reception—the distance between prototypes and actual adoption is shortened. The important thing will be to fit these AI robots into frictionless workflows and homes, with transparency, oversight and a tangible utility that justifies its daily presence.
