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Premature fitness evaluations can bias evolutionary outcomes, but AdaControl reveals a path to more diverse and efficient robot designs.
A cooperative dual-altitude navigation strategy can improve aerial target localization success rates by over 30% while using significantly less adaptation data.
Achieve comparable or superior accuracy to standard FNO with a 60-76% reduction in model size by decoupling spectral weight optimization in a multi-task Fourier Neural Operator.
VLMs can be easily fooled in the real world by strategically manipulating lighting, causing them to misinterpret scenes and hallucinate nonsensical captions.
Robot control systems are shockingly vulnerable: JailWAM achieves an 84.2% success rate in jailbreaking state-of-the-art World Action Models to perform unsafe physical actions.
