A slew of start-ups and academic labs are leaning on AI agents and bots, rather than humans, to speed up their chemistry ...

Meng, X., Yu, H., Zhang, J. & Yang, Q. Adaptive EPCH strategy for nonlinear systems with parameters uncertainty and disturbances. Nonlinear Dyn. 111 (8), 7511–7524 ...

Features of this edition: All 45 companies are limited to those that manufacture and ship 'finished' humanoid robots. Component manufacturers, AI infrastructure companies, and research institutions ...

[Matt Denton]’s SpoolBot is a surprisingly agile remote-controlled robot that doesn’t just repurpose filament spool leftovers. It looks exactly like a 2 kg spool of filament; that’s real filament ...

Developing integrated joint actuators represents one of the most challenging engineering endeavors in modern robotics. These actuators integrate motors, reducers, encoders, and drivers into compact ...

Comparative study of 15+ control strategies (LQR, MPC, H-infinity, SMC, backstepping, NDI, LPV, adaptive, predictive) for a two-wheeled inverted pendulum — derived in MATLAB, validated in a MuJoCo ...

In the past, we have seen various consumer-grade Arduino and Raspberry Pi-based robot dogs like the Petoi Bittle and XGO 2, as well as the XGO Mini Pro built around the Kendryte K210/K510 AI processor ...

Check out the Mini Wheelie, a complete self-balancing robot in an easy-to-build kit! The kit includes an ESP32-S3-based controller, motors, wheels, an ultrasonic sensor, a TFT display, a LiPo battery, ...

Many applications of plasmonic nanoparticles require precise control of their optical properties that are governed by nanoparticle dimensions, shape, morphology and composition. Finding reaction ...

Code for creating a trained policy that can be used by a two wheeled self balancing robot. This includes the following steps; Training a policy using reinforcement learning (Stable Baselines3 / ...