Abstract: This paper presents an adaptive and weighted model predictive control (MPC) algorithm for autonomous driving with disturbance estimation and prediction. Unexpected and unpredictable ...

Abstract: Lithium-ion (Li-ion) batteries play a substantial role in energy storage solutions for modern-day technologies such as hand-held consumer electronics, aerospace, electric vehicles, and ...

BMPC is a model-based reinforcement learning algorithm built on TD-MPC2’s world model, designed to enhance policy learning through expert iteration. BMPC leverages Model Predictive Control (MPC) to ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

The Slotozilla model is based on the principle that players first examine RTP, volatility, and bonus mechanics before ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

For millions of people living with depression, finding an effective treatment can feel like a long and uncertain journey.

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

New laws in California and New York might stop anyone from 3D printing guns — and create entirely new kinds of surveillance.

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision Diabetes Management—PIPE-AI" (AI Agent), designed specifically for Asian ...