control

of autonomous vehicles and AI language models, yet the predominant physical interface through which we connect with machines has remained unchanged for 50 years. Astonishingly, we're still using the pc mouse, a tool...

One might encounter various frustrating difficulties when attempting to numerically solve a difficult nonlinear and nonconvex optimal control problem. In this text I'll consider such a difficult problem, that of finding the shortest path...

Imagine having a continuum soft robotic arm bend around a bunch of...

When my team first rolled out an internal assistant powered by GPT, adoption took off fast. Engineers used it for test cases, support agents for summaries, and product managers to draft specs. A number...

Good morning, AI enthusiasts. UCLA engineers just turned an ordinary EEG cap right into a mind-reading device powerful enough to regulate robotic limbs. By pairing it with AI that interprets intent in real-time, they've...

Quick In this text we'll: 1. Introduction Model predictive control (MPC) is a preferred feedback control methodology where a finite-horizon optimal control problem (OCP) is iteratively solved with an updated measured state on each iteration. Within the...

An autonomous drone carrying water to assist extinguish a wildfire within the...

We're at a turning point where artificial intelligence systems are starting to operate beyond human control. These systems at the moment are able to writing their very own code, optimizing their very own performance,...