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 73-84 of 188 articles

Using affordance-based manipulation for adaptive robotic grasping in unstructured environments

Optimizing viral vector engineering for targeted gene therapy in neurodegenerative disorders

Via self-supervised curriculum learning to accelerate robotic skill acquisition in unstructured environments

Investigating synaptic vesicle recycling dynamics during high-frequency neuronal firing

Through catastrophic forgetting mitigation to enhance lifelong learning in AI agents

Using carbon nanotube vias in 3D-printed neural implants for enhanced biocompatibility

Using microbiome rejuvenation to combat antibiotic-resistant bacterial infections in gut flora

Enhancing few-shot learning through hypernetworks for rapid model adaptation in robotics

Enhancing collaborative robot cells with adaptive AI for dynamic manufacturing environments

Through 3D monolithic integration of photonic and electronic neural networks

Employing neuromorphic computing architectures for real-time adaptive control of collaborative robot cells

For robotic tactile intelligence using currently available materials