Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Tech Xplore on MSN
Adaptive motion system helps robots achieve human-like dexterity with minimal data
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign have reported the first ...
Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
The beginning of 2026 is unfolding in a highly sensitive macroeconomic environment, marked by recurring volatility and ...
Abstract: In this article, the issue of distributed optimized state estimation under bit-rate constraints (SEBRCs) is studied for nonlinear complex dynamical networks (NCDNs) with stochastic ...
Abstract: This article proposes a model-free sliding mode control using dynamic gain time delay estimation (DGTDE) to improve the position tracking performance of permanent magnet linear synchronous ...
Scientists developed a reconfigurable topological photonic system that steers light in real time using optical pumping, ...
Topological photonics has emerged as a powerful paradigm for achieving robust light transport that is immune to imperfections, disorder, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback