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AI Laboratory, SUSTech
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Single-view RGB input can revolutionize how robots perceive and manipulate transparent objects, achieving reliable grasping without complex depth sensing.
Muon-inspired optimizers can provably converge linearly even in non-smooth settings, expanding their applicability beyond the smooth landscapes typically assumed.
Forget bolting vision onto language models – truly powerful multimodal AI demands rethinking architectures from the ground up.