Abstract: This paper presents an autonomous driving algorithm for uncontrolled intersections based on Model Predictive Control (MPC) and Interacting Multiple Model (IMM) filters, proposing an ...
Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...
An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI’s o3 ...
Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments. For additional details, please ...
1 Country State Grid Fujian Electric Power Co., Ltd., Fuzhou, China 2 Putian Electric Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Putian, China Conventional model-based ...
Scientists say they have developed a new AI-assisted model of a digital twin with the ability to adapt and control the physical machine and in real time. The discovery, reported in the journal IEEE ...