IEEE

Deep Q-Network for Optimising the Weights of Model Predictive Control-based Motion Cueing Algorithm

Abstract: Motion cueing algorithm aims to replicate realistic motion sensations for drivers while adhering to the physical limitations of the simulation platform. Model Predictive Control has been ...
Gadget Review on MSN

Scientists create robot centaur legs that make heavy lifting a breeze

Robot legs developed by SUSTech researchers reduce walking effort by 35% and cut foot pressure in half when carrying heavy loads up to 44 pounds.
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Tech Xplore

Early-warning model developed to predict toxic social media storms

Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict ...
Science Daily

Scientists build a “periodic table” for AI

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
IEEE

Distributed Source Seeking With Global Field Exploration Using Adaptive Model Predictive Control

Abstract: In this paper, we address the distributed source seeking (DSS) problem using model predictive control (MPC). In our approach, the signal field is modeled as a weighted combination of convex ...