Ashish Kapoor
@akapoor_av8r • 5,820 subscribers
Building Intelligence GRID for Physical AI @genrobotics_ai | Aviator
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The power of generative models — now embodied in humanoids. Announcing DreamControl –– After a year-long research effort at General Robotics — we present a scalable framework for whole-body humanoid control that fuses diffusion priors with reinforcement learning to unlock real-world scene interaction. Diffusion + RL → natural whole-body skills on real robots. DreamControl enables humanoids to move beyond locomotion demos → performing natural, human-like skills such as –– Picking & lifting objects, Opening drawers & doors, Precise punching, kicking, and jumping, Bimanual manipulation tasks Our key innovation: a diffusion prior over human motion that guides RL, eliminating the need for massive teleoperation datasets, and producing motions that look human while transferring to real hardware. Trained purely in simulation, deployed on the Unitree G1 humanoid, DreamControl policies run in real time, bridging sim-to-real with unprecedented naturalness. We leverage a novel hybrid edge + cloud infrastructure that runs RL-trained policies on the edge backed by powerful AI models running in the cloud This is the next step in General Robotics’ journey toward general-purpose humanoid assistants that interact, adapt, and assist autonomously. Paper: Blog: 1/n
Ashish Kapoor118,030 views • 8 months ago
Wang's key insight? Stop trying to create perfect mathematical models. Instead, design adaptive feedback loops using real-time sensor data to make continuous micro-adjustments. This shift to practical adaptation formed the cornerstone of DJI's future technical advantage.
Ashish Kapoor38,127 views • 1 year ago
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