A study has uncovered new ways of driving multi-legged robots by means of a two-level controller. The proposed controller uses a network of so-called non-linear oscillators that enables the generation of diverse gaits and postures, which are specified by only a few high-level parameters.
Researchers have developed a method for helping robots plan for multi-step tasks by constructing abstract representations of the world around them. Their study is a step toward building robots that can think and act more like people.
Researchers have tapped advances in real-time tracking software and robotics to design and test the first closed-loop control system featuring a bioinspired robotic replica interacting in three dimensions with live zebrafish.
Researchers have invented a magnetically controlled soft robot only four millimeters in size, that can walk, crawl or roll through uneven terrain, carry cargo, climb onto the water surface, and even swim in it.