Atomfair Brainwave Hub: SciBase II / Bio-inspired and Biomimetic Engineering / Bio-inspired and bio-integrated systems for medical and robotics

Bio-inspired and bio-integrated systems for medical and robotics

Showing 49-60 of 188 articles

With embodied active learning for autonomous robotic manipulation tasks

Bridging sim-to-real transfer gaps with adaptive physics-informed neural networks

Using microbiome rejuvenation to reverse antibiotic-induced dysbiosis in gut health

Using art-inspired scientific approaches to design biohybrid neural networks

Bridging current and next-gen AI with few-shot hypernetworks for adaptive learning

Bridging quantum biology with information theory to decode cellular decision-making mechanisms

Optimizing robotic tactile intelligence for 2024-2026 deployment in precision agriculture

Controversial but promising approaches to harnessing attojoule energy regimes for nanorobotics

For robotic tactile intelligence using spiking neural networks in prosthetics

Robotic tactile intelligence for minimally invasive surgery in delicate tissues

Femtosecond pulse interactions with plasma membrane repair mechanisms in cancer cells

Developing robotic tactile intelligence via multi-modal embodiment in unstructured environments