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🚀 ASAP is now FULLY open-source! 🚀 ✅ Humanoid RL motion tracking & delta actions ✅ Motion retargeting to any humanoid ✅ ASAP Benchmark motions + pretrained policies ✅ Sim2Sim & Sim2Real ready — run ASAP in sim or on your G1 robot! 🔗 🎥👇

Tairan He

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39,412 次观看 • 11 个月前 •via X (Twitter)

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New open-source library speeds up whole-body imitation learning. Train the policy below in under 20 minutes ⬇️ LocoMuJoCo2 brings biomechanics and humanoid robotics into one clean, high-speed benchmark. Built for researchers who want to train smarter and faster. What it offers ✅ 22K+ motion trajectories per humanoid model ✅ Supports both MuJoCo and MJX ✅ JAX-based PPO, GAIL, AMP, DeepMimic implementations ✅ Plug-and-play robot2robot retargeting pipeline Whether you’re building humanoids or studying human motion, this toolkit saves you weeks of setup. Github: Thank you, Firas Al-Hafez for sharing this great work!

New open-source library speeds up whole-body imitation learning. Train the policy below in under 20 minutes ⬇️ LocoMuJoCo2 brings biomechanics and humanoid robotics into one clean, high-speed benchmark. Built for researchers who want to train smarter and faster. What it offers ✅ 22K+ motion trajectories per humanoid model ✅ Supports both MuJoCo and MJX ✅ JAX-based PPO, GAIL, AMP, DeepMimic implementations ✅ Plug-and-play robot2robot retargeting pipeline Whether you’re building humanoids or studying human motion, this toolkit saves you weeks of setup. Github: Thank you, Firas Al-Hafez for sharing this great work!

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Instant24 is here to stay — and we’re giving away 5 x $10K Instant24 accounts 🔥 Your 24-hour trading window is always open. How to enter: ✅ Follow ✅ Like ✅ Comment “Instant24” ✅ Tag a trader 👉 Ready to jump in now? Get your program now! ⏳ Don’t miss out, winners will be announced on Friday.

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NVIDIA DROPPED A MOTION DIFFUSION MODEL FOR HUMANOID ROBOTS trained on 700 hours of mocap data kimodo generates high-quality 3D human and robot motions from text prompts you control it with: → full-body pose keyframes → end-effector positions/rotations → 2D paths and waypoints works on human skeletons and unitree G1 robot plug the outputs directly into mujoco or retarget to other robots using GMR has a web-based interactive demo with a timeline editor. runs locally needs ~17GB VRAM to run inference open source under apache 2.0

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Most robots still need markers, checkerboards, or long calibration rituals just to know where their arms are. Now it works from raw images in seconds. roboreg is a markerless multi arm localization toolkit that plugs into ROS 2 and RViz. No special hardware. No custom setup. You toggle between robot descriptions and the system figures out the rest. The idea is simple: ✅ Hand eye calibration from plain RGB or RGB D images ✅ Only three robot poses needed for millimeter accuracy ✅ Works with any ROS 2 compatible robot and camera ✅ Fully open source under Apache 2.0 It is powered by Hydra, a new marker free ICP variant that converges far more reliably than classical baselines and runs in under a second. If you want to try it: roboreg: ROS 2 roboreg: Hydra paper: pip install roboreg More details and discussion on Open Robotics Discourse:

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