Raul Joseph Bastidas Artica

@raulb4s and @mbrq_13 testing teleop with HandUMI at the @0xnonhuman lab in Peru 🇵🇪, 7,250 km away from SF. This is part of the tests to make sure the IK works correctly and that the data collected with HandUMI feels like teleoperated data, but much cheaper. The complete software will be open sourced in the coming days! Data collection, teleop in sim and in real, data postprocessing, etc. Stay tuned! Want to collaborate on HandUMI or build your own? Join our Discord: discord.gg/V47FuUkFA

@vineethcyeevani @autobrik @robonet_ VR controllers are more robust for continuous 6DoF tracking: they combine visual tracking with IMU data, handle fast motion and brief occlusions better, and provide high-rate pose estimates out of the box.

@autobrik @robonet_ just use Apriltags. why do you need a full vr controller for this?

Why do people keep collecting data with teleoperation when a bimanual robot setup costs more than $10k? Isn't there a solution that gives you the same data quality without the robot? At @robonet_, we want to build the Internet of Robotics. As part of that mission, we built HandUMI, a hand-worn data collection device for bimanual arms with parallel-jaw grippers. Specs per unit: - 276.5 grams - $110.68 - Encoder-precision gripper aperture - Integrated wrist camera - Tracking with the VR headset of your choice (Pico/Quest) - More than 5 grippers supported (Piper, Trossen, ARX, Soft gripper, Dream gripper) The best part: all the hardware is open source! Thanks @fdotinc for the hardware lab and the space to make this possible. ft. @alvax64 @leoperzz @raulb4s @mbrq_13 @BryanBRstds @Aryan_Mangla_ , and the rest of the @0xnonhuman team.

📣 Introducing the Qwen-Robot Suite — Qwen-RobotNav, Qwen-RobotManip, Qwen-RobotWorld, three foundation models, a full stack for embodied intelligence. 🧭 Qwen-RobotNav — the gateway to mobility. • Unifies 5 navigation tasks in one model: instruction following, point-goal, object-goal, target tracking, autonomous driving • Controllable observation protocol • Tool interface for agentic systems 🤖 Qwen-RobotManip — the foundation of interaction. • Unified state-action space across heterogeneous robots • Camera-frame delta poses for coherent cross-embodiment training • Pretrained on a 38,100+ hour open-source corpus 🌍 Qwen-RobotWorld — infinite worlds for physical agents. • Single world model, 20+ embodiments • Natural-language action interface • Predicts physically grounded futures across manipulation, driving, and navigation Each model is independently useful, and could be composed as physical-world tools.Together, they form the low-level toolkit for general-purpose agentic systems that don't just see the world, but act in it. 📷 Blog: qwen.ai/blog?id=qwen-r… 📖 Report： Qwen-RobotNav: …anwen-res.oss-accelerate.aliyuncs.com/qwenrobot/pape… Qwen-RobotManip: …anwen-res.oss-accelerate.aliyuncs.com/qwenrobot/pape… Qwen-RobotWorld： …anwen-res.oss-accelerate.aliyuncs.com/qwenrobot/pape…

In interesting turn of events, we emerged as finalist for WBCD at ICRA 2026 We’re headed to Vienna from June 1-6 to attend ICRA and work on autonomous policy for whole body control Who else will be there, let’s meet and catch up! @leoperzz @autobrik @raulb4s @mbrq_13