Gaussians as State, Futures as Supervision: Inside GSP-3D
Introduction Learning robust visuomotor policies for bimanual manipulation remains challenging due to the stringent requirements for precise coordination between arms and the ability to generalize across diverse environmental conditions. Existing approaches struggle with generalization across diverse environmental conditions for long-horizon bimanual manipulation tasks. In this episode of Embodied AI 101, we explore "Gaussians as State, Futures as Supervision: Inside GSP-3D". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence…
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