Tech Xplore

Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
Tech Xplore

Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
PNAS

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using deep learning and additive manufacturing

We report a graph-focused deep learning technique to capture the complex design principles of graph architectures—here exemplified for 3D spider webs—and use the model to generate a diverse array of ...
Frontiers

Lessons for Robotics From the Control Architecture of the Octopus

Biological and artificial agents are faced with many of the same computational and mechanical problems, thus strategies evolved in the biological realm can serve as inspiration for robotic development ...
Frontiers

Design Optimization of a Pneumatic Soft Robotic Actuator Using Model-Based Optimization and Deep Reinforcement Learning

We present two frameworks for design optimization of a multi-chamber pneumatic-driven soft actuator to optimize its mechanical performance. The design goal is to achieve maximal horizontal motion of ...