The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Optimized control-system architecture comes with many production benefits. One of the tools for doing this is to perform a ...

Abstract: This paper proposes an enhanced model predictive discrete-time sliding mode control (MPDSMC) with proportional-integral (PI) sliding function and state observer for the motion tracking ...

Abstract: This study provides a literature review of control schemes associated with parallel robots. Various types of parallel robots have been discussed, including the Delta Robot, 2 DOF Parallel ...

Engineers affiliated with the institute behind China’s sixth-generation stealth fighter program are publishing peer-reviewed research on automated carrier landing systems, structural loads for ...

The TMS320F28P550SJ from Texas Instruments is the industry's first real-time MCU with an integrated neural processing unit (NPU). It's designed to run convolutional-neural-network (CNN) models to help ...

1 Institute of Physics, University of Oldenburg, Oldenburg, Germany. 2 Centre for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Roskilde, Denmark. 3 ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

Continuous bioprocessing PAT requires real-time sensors and closed-loop control to maintain steady-state culture conditions.

BBQ guru systems upgrade how you pit-cook meat. Investigate the flaws of wired PID controls and evaluate wireless smart hubs ...