Interesting Engineering on MSN
New adaptive system lets robots replicate human touch with far less training data
Researchers in Japan have developed an adaptive motion reproduction system that allows robots to ...
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 ...
Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
A new analysis of the Hubble constant to show that the Gaussian Processes data reconstruction technique may not actually be independent of all cosmological models -- and that it may be time to ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
AZoRobotics on MSN
New Tech Bridges the Gap Between Human Intuition and Robot Control
This research from Keio University leverages Gaussian process regression, enabling robots to intuitively adjust grip based on object properties and stiffness.
This paper is concerned with everywhere local behaviour of certain classes of random processes which have stationary Gaussian increments. It is shown that for two classes of processes almost all the ...
Transformations of a class of Gaussian processes to the Brownian motion are obtained by reproducing kernel Hilbert space methods. These transformations are such that the value of the transformed ...
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