Abstract: Safe operation of multi-robot systems is critical, especially in communication-degraded environments such as underwater for seabed mapping, underground caves for navigation, and in ...

While current control and PWM switching play the most direct role in driving brushless DC motors, the motion profile and ...

Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.

Abstract: The application of real-time visual tracking in laparoscopic surgery has gained significant attention in recent years, driven by the growing demand for precise and automated surgical ...

Abstract: Autonomous vehicles (AVs) have a significant impact on the expansion of greenhouse gas emissions as well as driving safety. Consequently, ensuring safety while improving the energy ...

In high-stakes roles, NASA launch and mission control teams on the ground will keep the Artemis II astronauts safely on track during a 10-day journey around the moon.

Abstract: Due to model uncertainty, system coupling and external disturbance, the mathematical structure of control system is often constructed imprecisely. This unknown structure implies the unknown ...

Abstract: The fuzzy adaptive state and output quantization bilateral cooperative control problem for nonlinear multiagent systems (NMASs) is studied. Since the considered system is nonlinear, fuzzy ...

The energy sector faces growing complexity and demand, but AI offers a transformative solution. AI can optimize energy systems, manage assets, and boost end-use efficiency, potentially saving 3,700 ...

Pitch shots often become inconsistent due to poor setup and incorrect pressure control. Many golfers struggle with low point, leading to thin or heavy strikes. This video explains a simple approach to ...

Abstract: The proposed research develops a unique solar power Maximum Power Point Tracking (MPPT) system which implements Deep Learning approaches within a connected grid power system. Artificial ...