Atomfair Brainwave Hub: SciBase II / Computational Modeling and Optimization / AI-driven automation and adaptive systems engineering

AI-driven automation and adaptive systems engineering

Showing 1-12 of 26 articles

Through few-shot hypernetworks for rapid adaptation in swarm robotics

Using neurosymbolic integration to enhance robotic decision-making in dynamic environments

Reducing machining errors with adaptive CNC toolpaths in high-precision aerospace components

Fusing origami mathematics with robotics: designing self-assembling modular structures

Optimizing robotic control policies through advanced sim-to-real transfer techniques

Through catastrophic forgetting mitigation in continual learning for autonomous robotics

With collaborative robot cells for adaptive precision surgery in microgravity environments

Via self-supervised curriculum learning for robotic manipulation tasks

Enhancing robotic adaptability through morphological computation in unstructured environments

Josephson junction frequency standards for lights-out production in semiconductor fabs

Reengineering Renaissance designs with multi-modal embodiment for modern robotics

With embodied active learning for autonomous robotic manipulation tasks