Abstract: In this work, we propose a tube-based model predictive control (MPC) scheme for state- and input-constrained linear systems subject to dynamic uncertainties characterized by dynamic integral ...

Abstract: This letter presents a new predictive control architecture for high-dimensional robotic systems. As opposed to a conventional Model Predictive Control (MPC) approach to locomotion that ...

To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification ...

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

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

The company was recognized for advancing AI-powered water monitoring technology that helps property owners detect leaks early ...

Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...

Representatives of three AI firms briefed an expert committee, senior members of the temple board, and police officers about ...

That’s according to Jonathan P. How, describing the breakthrough that has pushed insect-scale aerial robots into a new ...

Hyundai launches the all-new Avante, the model that North America knows as the Elantra. Six new colors and two powertrain ...

In today’s post-agentic AI environment, traditional automation models simply cannot keep pace with the speed, scale and ...

PP: SOS Enterprise provides a comprehensive security framework designed for the most demanding environments. At its ...