Millimeter-scale robots were shown to mimic the movement and behavior of living insects for advanced materials science, biological, and biomedical applications.
From cracking eggs to plating the finished dish, a team of engineers have trained a robot to prepare omelettes that actually taste good.
An automatic design approach with a new 3D-printing method is established to fabricate soft composites that can change to predetermined shapes and generate controllable robotic motions under a magnetic field.
A bioinspired, soft robotic caterpillar that uses the contraction of live heart cells to propel its motion.
Digital coding metasurfaces simultaneously manipulate both electromagnetic and acoustic waves for advanced cloaking or signaling devices.
Intrinsic or tightly integrated sensing, actuation, and computation embedded into 3D structures could enable a new generation of truly smart and complex systems, such as robots that have human-like dexterity.
A new machine learning algorithm that can predict battery performance and failure beyond the expert level.
Thin, soft, and stretchable gallium-based sensors to accurately monitor human hand kinematics.
Machine learning enables the manufacturing of highly compressible nano-scale devices.
Enhancing the safety of minimally invasive surgical instruments through external magnetic control.
Physically connecting various sensors into a single intelligent system could bring AI closer to the sensing capacity of living creatures.
An artificial neural network based entirely on memristors is developed.
A joint European project plans to create a soft robot made from a self-healing material, which can detect and localize a damage like a pain.