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Achieving 90.8% semantic accuracy, SemAnCorr revolutionizes zero-shot manipulation by enabling reliable skill transfer across diverse object geometries with just one demonstration.
GaP outperforms traditional methods in variational automation tasks by leveraging directed computation graphs for real-time adaptability and improved success rates.
Forget expensive tactile sensors – microphones and a lightweight CNN can give you accurate, real-time in-hand slip estimation.
Soft robots can now mimic human manipulation skills more effectively by explicitly reasoning about contact forces, outperforming traditional kinematic imitation and learning-based methods.
