ManipulaPy is a modular, GPU-accelerated Python package for robotic manipulator simulation, planning, control, and perception. It supports kinematics, dynamics, path planning, control strategies, ...

A simulation study reports that a model-free TD3 deep reinforcement learning controller outperforms PID and fuzzy benchmarks in trajectory tracking for an underactuated 2-DOF helicopter.

Synthesize science, mathematics, technology, and application-oriented designs into world-class consumer products, timely microprocessors, state-of-the-art computers, advanced electronic components, ...

When we build a robot or design a control system for one, we always have an expectation in our minds of "how the robot will move." If we apply voltage to a motor, it will spin. If we attach a weight ...

We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and ...

Robust perfect adaptation, a system property whereby a variable adapts to persistent perturbations at steady state, has been recently realized in living cells using genetic integral controllers. In ...

Remote patient monitoring is a critical tool for diagnostics and therapeutics, especially in sparsely populated areas. Wearables with clinical-grade sensing fidelity provide a suitable platform ...

The surrounding thermal environment is highly important for the survival and fitness of animals, and as a result most exhibit behavioral and neural responses to temperature changes. We study signals ...

花了好大心血完成了一份留学作业系列——1：电机控制设计；供大家参考，文末有MATLAB程序及无水印Word文档。 Control design is very important in for power electronics, such as the ...