Neo Humanoid Robot Learns New Skills with Advanced AI Training
CNETJune 29, 20253 min248,102 views
28 connectionsΒ·30 entities in this videoβNeo Robot's Enhanced Capabilities
- π€ Neo, a humanoid robot from 1X, is showcasing new capabilities through advanced AI training in employee homes.
- π‘ These new abilities include picking up unfamiliar objects, whole-body control, improved coordination, running, multidirectional walking, and navigating stairs.
Stair Navigation Without Lidar
- πͺ Neo's new stair mode utilizes onboard cameras to estimate floor height, bypassing the need for Lidar sensors common in other robots.
- β οΈ The robot demonstrated stepping sideways downstairs and recovering from a stumble.
Versatile Movement and Interaction
- π€Έ Neo can now perform tasks requiring it to get lower to the ground, such as sitting, kneeling, and standing up.
- π οΈ Examples include handing over tools, working under a car, and crouching to load a washing machine.
- πΆ The robot also exhibits pivoting, walking backward, and side-stepping for navigating tight spaces.
Redwood AI and World Model Updates
- π§ The new Redwood AI runs entirely on Neo's onboard GPU, enabling these advanced functions.
- π The 1X World Model bridges the gap between training simulations and real-world actions, trained on video, robot observations, and action trajectories.
- πΌοΈ This model allows the robot to simulate future actions, with examples showing laundry, door opening, and cleaning tasks.
Learning from Experience and Failures
- π³ In an air fryer example, the AI initially hallucinated the basket was inseparable, but refined its simulation with gathered data.
- π Like humans, 1X's robots learn from failures, with some examples shared by the company.
- β οΈ The 1X World Model still faces challenges with simulating unfamiliar objects and predicting complex locomotion.
Future of General AI in Robotics
- π― While a general AI model for robots is the ultimate goal, 1X acknowledges it will take time.
- π± The company believes focusing on a variety of task-specific training goals will be crucial for progress.
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Humanoid RobotsNeo Robot1X RoboticsRedwood AI1X World ModelArtificial IntelligenceMachine LearningRobotics TrainingComputer VisionSimulationOnboard GPULidarAutomation
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