A data-driven environmental planning framework strengthens climate governance through quality control standards, interdisciplinary expertise, and predictive emission modeling. By integrating ...

This project features a complete control pipeline for a prosthetic arm, moving from basic serial communication to complex Inverse Kinematics and a Graphical User Interface (GUI). Hardware Setup ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

MATLAB implementation of closed-loop feedback analysis for ENG3018 Practical 2, covering open-loop and closed-loop transfer functions, sensitivity analysis, time-domain responses, and phase-delay ...

Abstract: The first course of control is under a critical review. Both the teaching material covered and the teaching methods require new considerations. Introducing interactivity in the education ...

Abstract: Effective thermal management is of paramount importance to the reliable and safe operation of electric vehicle (EV) batteries. Most traditional single-zone battery thermal management systems ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

Allen Control Systems (ACS), a leader in autonomous precision robotics, today announced the tripling of its Austin, Texas operations to more than 57,000 square feet to meet the de ...

The 25th Infantry Division is testing a new command-and-control system designed to speed how the Army detects threats, makes ...