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Welcome HMND 01 Alpha Bipedal — autonomous, adaptive, built for real-world impact. Made in 5 months, walking in 48 hours. It will power R&D, POCs, safety validation, and AI development. 179 cm | 29 DOFs excluding end-effectors | 15 kg bimanual payload | 12-DOF hands or parallel grippers |... show more

Humanoid

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51,263 views • 7 months ago •via X (Twitter)

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HMND 01 Alpha, developed by UK-based Humanoid. Height can extend up to 7'3" | 7.2 km/h speed | 15 kg payload | 29 active DOF, excluding end-effectors.

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Meet HMND 01 Alpha — UK’s first humanoid robot for industrial use. Built in just 7 months, it’s the fastest-developed humanoid in history. 220 cm | 7.2 km/h | 15 kg payload | 29 active DOF, excluding end-effectors | AI-driven end-to-end reasoning The journey has just begun. The humanoid future is closer than ever. Stay tuned for our Behind the Scenes documentary later today!

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Today, we’re introducing KinetIQ, our own AI framework for end-to-end orchestration of humanoid robot fleets. One system, multiple robot embodiments. Industrial, service and home environments coordinated in real time. The framework consists of 4 cognitive layers: from high-level task allocation and workflow optimisation down to VLA-based task execution and RL-trained whole-body control. Watch how KinetIQ runs both our wheeled and bipedal robots. Read more on our blog:

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Introducing Higgsfield Supercomputer 2.0. Our first autonomous AI agent, accelerated by NVIDIA technology, to run your marketing end-to-end with enterprise-level trust, safety, and permissioning.

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Excited to share: Figure 01 completing real-world tasks This is end-to-end autonomous We have made advances in our autonomous navigation, learned perception models, manipulation robust to pose variation, & generalizable systems for future applications

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Nvidia CEO Jensen “Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not in somewhat secondary to that first part.”

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Nvidia CEO Jensen “Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not in somewhat secondary to that first part.”

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Boston Dynamics collaborated with NVIDIA to demonstrate DextrAH-RGB, a workflow for dexterous grasping from stereo RGB input. The end-to-end policy for Atlas robot, trained entirely in NVIDIA Isaac Lab, transfers zero-shot from simulation to the real robot.

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NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."

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Time will End — Existence will continue in the Dream World, which is the Real World

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Train the AI behind real-world robots We’re hiring Data Labelers to annotate images and videos to train Optimus & autonomous systems. You’ll work with real production data & directly impact how these systems learn and operate in the real world Come join!

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This Diwali, let’s light up Jubilee Hills! ✨ For the past 15 years, Congress and BRS have kept our constituency in darkness. Now it's time to end the darkness and welcome a new dawn. 🪔 Vote for BJP 🪔 Vote for Modi Ji Let’s bring real development, real leadership, and real change to Jubilee Hills! #JubleeHills #jubleehillswithbjp #JubileeHillsByElection

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