Abstract: Online optimal control of quadruped robots would enable them to adapt to varying inputs and changing conditions in real time. A common way of achieving this is linear model predictive ...

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...

The partnership with PAR Systems further strengthens SORBA.ai’s global ecosystem of automation providers, system integrators, ...

People don’t passively change their beliefs; they test whether it’s safe to. What looks like repetition may be an attempt to ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

Abstract: This paper proposes an obstacle avoidance controller based on Monte Carlo Model Predictive Control (MCMPC), utilizing samples generated by the C/GMRES method. MCMPC, a sample-based approach, ...

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...

A predictive space weather model designed to simulate how solar storms affect Earth has been publicly released for researchers in the broader scientific community — as well as the general public — to ...