Using a micro-3D-printing technique, researchers were able to print detailed robotic parts that are smaller than the diameter of a human hair and display color-expressing features for microrobot tracking and identification.
Controlling the probability of a series of seemingly random events is the key to mimicking the human brain to optimize neuromorphic learning.
A new, flexible, and self-powered sensor made by magnetoelectric materials can convert mechanical stimuli to electrical signals for robots with a “soft touch”.
How a light-powered snail is addressing scalability in robotics.
By exploiting the capabilities of 3D printing, high performance composite magnets can be precisely patterned into complex shapes and architectures.
Prof. Jungchul Lee reports a four degrees-of-freedom direct writing technique for liquid metal patterns.
The future of collaborative intelligence: a biomimetic lens that can zoom in and out at the blink of an eye.
Fabricating a 3D-printed architectured robotic body with deformable lightweight cellular structures.
Integration of a magnetic elastomer with data-driven analysis leads to a continuous interaction surface that can estimate location and depth of indentation.
A generalized methodology has been established to guide the design of future soft robotics using intelligent liquids.
Large-scale re-forestation can be a very effective means to decarbonize the future.
The ability to collocate multiple functionalities will create new opportunities for the fabrication of “smart” soft robotic systems.
A new physical approach to the design of intelligent memory, logic, and cognitive devices for brain-like computation.