Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
There are moments in life when the surface story no longer holds. From the outside, everything appears intact — work, success ...
Researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign have reported the first ...
New research indicates that the structural organization of the human brain does not develop in a continuous, linear fashion ...
Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...
Abstract: This article proposes a novel fuzzy secure containment control strategy in an adaptive framework for fully heterogeneous nonlinear multiagent systems (FHNMASs), which can resist the combined ...
Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Abstract: This article discusses the decentralized tracking control problem of large-scale nonlinear systems characterized by unknown disturbances, time-varying delays, and polynomial growth ...
A research team of Professor Yan Chen from the Tianjin University presents a reconfigurable hierarchical metamaterial, establishes a linear relationship between its stiffness and the number of active ...