IEEE

Logic Learning From Demonstrations for Multi-Step Manipulation Tasks in Dynamic Environments

Abstract: Learning from Demonstration (LfD) stands as an efficient framework for imparting human-like skills to robots. Nevertheless, designing an LfD framework capable of seamlessly imitating, ...
IEEE

Computational Efficiency of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction

Abstract: The echo state network (ESN) is a representative model for reservoir computing, which has been mainly used for temporal pattern recognition. Recent studies have shown that multi-reservoir ...
Entrepreneur

Learning How to Follow Makes You a Better Leader. Here’s How — and When — to Step Back.

Being a leader doesn’t mean you are always THE leader. You must learn how to read the room to know who actually owns the situation and step back, supporting rather than controlling. Ask yourself: Who ...