Image created with Gemini. Image prompt: Vintage book-jacket illustration of an Edwardian Dubliner in round wire spectacles and flat cap seated at a small teahouse table pouring tea from a porcelain pot, a cloth-bound blue book open beside him, a yellow paper lantern above, bold serif title reading QWEN across the top with generous margin, flat inked colors in Shakespeare-blue, cream, lemon yellow and slate gray with visible paper grain and letterpress texture, soft overcast daylight, landscape 16:9.
[2606.17030] Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
https://arxiv.org/abs/2606.17030
📣 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,
https://x.com/Alibaba_Qwen/status/2066870197122899980
By treating natural language as a universal action interface，Qwen-RobotWorld bridges the gap between general video generation models and domain-specific embodied models — this converts end-effector poses, steering commands, and navigation waypoints into a single interface,
https://x.com/Alibaba_Qwen/status/2066870210716647591
I made Physical AutoResearch sound simple (conceptually), but it took a village to pull off and lots of design thinking into the robot /loopcraft. The hardest part is everything we need to setup *before* pressing Enter. Here’s a behind-the-scene tour: 1. Safety harness Letting
https://x.com/DrJimFan/status/2067283904986517866
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