This research from Keio University leverages Gaussian process regression, enabling robots to intuitively adjust grip based on ...
Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...
This paper develops a tractable economic model of AJI that treats adoption as an information problem: users care about local reliability, but typically observe only coarse, global quality signals. In ...
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 ...
Bacteria can sneakily evade our best efforts at eradication by developing resistance to various pressures in their ...
Abstract: Gaussian process state-space models (GPSSMs) offer a principled framework for learning and inference in nonlinear dynamical systems with uncertainty quantification. However, existing GPSSMs ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
Xgrids has launched LCC for Revit, a new plug-in that brings SLAM-based 3D Gaussian Splatting technology directly into Autodesk Revit workflows. According to the company, the technology delivers 70-90 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback