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: We present a sampling-based control approach that can generate smooth actions for general nonlinear systems without external smoothing algorithms. Model Predictive Path Integral (MPPI) ...

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 ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

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

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

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

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

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

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.

Around the 2026 FIFA World Cup, Hyundai and Boston Dynamics have taught footwork to the Atlas humanoid, while the Spot robot ...