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Damnn son!

1x's NEO Humanoid has the LOWEST latency VR teleoperation I've ever seen! It matches nearly instantly!

Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution arxiv.org/abs/2509.14816 Having priorities in RL optimization for control

LocoFormer: Generalist Locomotion via Long-context Adaptation arxiv.org/pdf/2509.23745 RL for diverse morph at scale with cross-episode memory to enable long-context adaptation

Men, This is the difference between Nice guy and Good man ‼️‼️

Humanoid motion tracking performance is greatly determined by retargeting quality! Introducing 𝗢𝗺𝗻𝗶𝗥𝗲𝘁𝗮𝗿𝗴𝗲𝘁🎯, generating high-quality interaction-preserving data from human motions for learning complex humanoid skills with 𝗺𝗶𝗻𝗶𝗺𝗮𝗹 RL: - 5 rewards, - 4 DR

Our grand finale: A complex, long-horizon dynamic sequence, all driven by a proprioceptive-only policy (no vision/LIDAR)! In this task, the robot carries a chair to a platform, uses it as a step to climb up, then leaps off and performs a parkour-style roll to absorb the landing.

Check out the new interactive humanoid robot, Yogi, introduced by Cartwheel Robotics. Yogi is designed as a companion for everyday life, offering help and companionship in settings from hospitals to living rooms. It features soft silicone skin for safe touch, precision actuators

Tesla Optimus learning Kung Fu

ResMimic: a two-stage residual framework that unleashes the power of pre-trained general motion tracking policy. Enable expressive whole-body loco-manipulation with payloads up to 5.5kg without task-specific design, generalize across poses, and exhibit reactive behavior.

Damnnn

HIP ASSEMBLY AND KINEMATICS OF A HUMANOID ROBOT Figure's WO2025213141A1 presents a humanoid robot hip assembly that achieves enhanced mobility through non-orthogonal actuator arrangements, eliminating torso pitch actuators while maintaining full range of motion. Figure

I've long wondered if we can make a humanoid robot do a 𝘄𝗮𝗹𝗹𝗳𝗹𝗶𝗽 - and we just made it happen by leveraging 𝗢𝗺𝗻𝗶𝗥𝗲𝘁𝗮𝗿𝗴𝗲𝘁 with BeyondMimic tracking! This came after our original OmniRetarget experiments, with only minor tweaks to RL training: relaxing a

Unitree G1 Kungfu Kid V6.0 A year and a half as a trainee — I'll keep working hard! Hope to earn more of your love🥰

Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single,

💡 How can humanoids achieve autonomous, generalizable, and lifelike interactions with real-world objects? 🤖 Introducing PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System Paper: arxiv.org/abs/2510.11072 Website: why618188.github.io/physhsi/