AZoRobotics on MSN

New analytical method makes hybrid soft-rigid robot simulations up to 1000× faster

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

OBGYN Specialists of Columbus Educates Women on BHRT Basics: Insurance, Costs, and What to Expect with BioTE

COLUMBUS, GA, UNITED STATES, March 3, 2026 /EINPresswire.com/ -- OBGYN Specialists of Columbus is helping women better ...
Electronic Design

“Reinforcement Learning” Fuels the Rise of Adaptive Controllers

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Democrat and Chronicle

AI Brings Predictability to Complex Food Product Development

A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not replace food scientists—it helps them work more effectively with complex data. The ...

AI startups want to crack open the recipe book in Big Food's test kitchens

From Frank's RedHot to Hellmann's, AI already changed what we taste, but greater success in test kitchens will be harder for artificial intelligence to create.
IEEE

Model Predictive Control with Soft Constraints for UAV Trajectory Tracking and Obstacle Avoidance

Abstract: This paper presents the design and experimental validation of a Model Predictive Control (MPC) framework for trajectory tracking of a quadrotor in dynamic environments. The proposed strategy ...
IEEE

Optimality of Output-sampled Model Predictive Path Integral Control (oMPPI) using Inverse Models

Abstract: Trajectory-sampling-based techniques, such as model predictive path integral control (MPPI), are well suited to solve complex optimization problems with numerous weighted cost terms and ...