Kaifeng Zhang
@kaiwynd • 3,473 subscribers
Robotics @columbia
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Gave GPT-6 Astra the task to plug in an ethernet cable. It did it after 2 hours and 4 human prompt interventions. Being able to complete a task with tight tolerance and deformable objects is impressive. But I think speed is still a big problem with agentic robotic systems, since deep reasoning via 3D programs is an integral part of this pipeline, and it’s not obvious to me how that can be distilled/accelerated to a level comparable to VLAs.
Kaifeng Zhang17,994 次观看 • 1 个月前
🧵 Evaluating robot policies in the real world is slow, expensive, and hard to scale. During my internship at SceniX this summer, we had many discussions around the two key questions: how accurate must a simulator be for evaluation to be meaningful, and how do we get there? Our new framework, Real2Sim-Eval, takes a step toward that answer. By combining Gaussian Splatting for photorealistic rendering and soft-body digital twins for realistic dynamics, we make simulation predictive of real-world performance. 👉
Kaifeng Zhang67,703 次观看 • 11 个月前
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