Oct. 22, 2023, 5:28 p.m. | /u/Successful-Western27

Machine Learning www.reddit.com

Researchers from Yonsei University and UC Berkeley recently developed a new AI method for enabling autonomous robots to navigate unfamiliar environments filled with obstacles using only visual data as input.

The key innovation is a customized diffusion model. Diffusion models can generate diverse motion plans by adding controlled noise. The researchers **tailored the model to mimic how heat avoids insulation when dispersing through space.**

Similar to heat navigating around insulators, this "collision-avoiding" diffusion model learns to predict robot motions that …

autonomous autonomous robots berkeley collision data diffusion diffusion model diffusion models diverse enabling environments free generate innovation machinelearning motion planning noise planning researchers robot robots the key uc berkeley university visual visual data

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