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

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

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

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

Waves hold enough energy to meet about 60% of U.S. electricity demand. We cannot harness the power of every wave, but if we can capture even some, that energy could help power coastal communities and ...

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 ...

MATLAB implementation covering closed-loop control analysis, time-domain responses, pole–zero maps, and stability assessment for multiple feedback systems.

Automation helped organizations survive the first wave of digital scale. The next phase will test who can combine execution with reasoning, speed with confidence and change with control. Forbes ...

Virtual emulation reduces costs to about one-tenth of physical hardware, offering a more scalable and flexible solution for ...

The scope includes design engineering, validation and qualification, product hardware, building and testing the system, ...