1X Technologies Elevates NEO Humanoid with Advanced Redwood AI for True Autonomy
1X Technologies has unveiled Redwood, a cutting-edge artificial intelligence model engineered to empower their NEO humanoid robot with autonomous capabilities in home settings. Redwood equips NEO to independently navigate, perceive, and interact with household environments, enabling it to perform a variety of everyday tasks such as handling laundry, answering doors, and moving seamlessly within familiar spaces.
Meet ZERITH H1: The Hotel Housekeeper of the Future
In the race toward making humanoid robots a part of daily life, China's ZERITH is making bold strides with its new housekeeping robot, the ZERITH H1. Purpose-built for hospitality, the H1 is designed to handle one of the most labor-intensive environments in service, hotel housekeeping.
Meet Ameca: The Robot That’s Almost Too Human
Ameca isn't some clunky, slow-moving machine from a retro sci-fi movie — it's the real deal. Designed by Engineered Arts, Ameca is the world's most advanced human-shaped robot, and it’s here to make you double-take, rethink your life choices, and maybe even question if you’re the real human in the room.
Persona AI: Robotics Powerhouses Jerry Pratt and Nic Radford Launch a Bold New Humanoid Venture
In a major development for the home robotics space, two of the field’s most respected minds—Jerry Pratt, former CTO of Figure AI, and Nic Radford, seasoned NASA roboticist and entrepreneur—have teamed up to launch Persona AI, a next-generation humanoid robot startup.
Meta's Locate 3D Could Teach Your Robot to Fetch Your Keys
Imagine asking your housebot to “bring me the keys from the table in the living room”—and it actually does it. Thanks to a groundbreaking project from the robotics team at Meta AI, that reality just got one step closer.
Adam Learns to Walk Like Us!
In the race toward truly lifelike humanoid robots, PNDbotics has taken a giant step—literally. The company’s flagship HouseBot, Adam, now walks with significantly more natural and energy-efficient motion thanks to the integration of reinforcement learning (RL)-based control systems.