🚁 HyperDrone: Drone simulator at >10M FPS ⚡️ HyperLux: Massively parallel ray tracing for RL 🔌 Any GPU: Nvidia, Apple Metal, Vulkan, WebGPU 🦾 Sim2Real transfer of an RGB policy ✅ Accepted at CoRL 2026 Check it out: pip install hyperdrone Links 👇

Walking, handling objects and getting back up. All with one controller. Gary Yang, Junheng Li and Aaron Ames, the PAC-MAN authors we featured in #01, return to our series as part of the HANDOFF team. BONES data in Research #04 When you reach for an object, you think about where your hand needs to go. The rest of your body coordinates in the background. HANDOFF brings this idea to humanoid control. The planning system uses text instructions and visual observations to set hand targets, walking speed, and body height. One controller coordinates the robot’s movement. The team distilled motion-tracking, walking, and fall-recovery teachers into a single policy. The motion-tracking teacher learned from human motions in BONES-SEED, retargeted to the robot. The authors demonstrated different object tasks on a real G1 without task-specific controller fine-tuning. Congratulations to @lzyang2000, @Junheng_Li1, Nehar Poddar, Yiling Hou, @giohuh_, Robert Griffin, @georgiagkioxari and Aaron Ames! Paper: arxiv.org/abs/2606.06493 BONES Research Network gives researchers access to open human motion data: research.bones.studio #BonesResearchNetwork #BonesSeed #HumanoidRobotics #RobotLearning

releasing orcs, a toolkit to post-train humanoid whole-body controllers for tasks. github.com/lok-i/orcs with checkpoints, ready to play! huggingface.co/lkrajan/orcs