A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements

no code implementations • 12 Nov 2023 • Mason Ma, Jiajie Wu, Chase Post, Tony Shi, Jingang Yi, Tony Schmitz, Hong Wang

This study presents a physics-informed machine learning-based control method for nonlinear dynamic systems with highly noisy measurements.

Model Predictive Control Physics-informed machine learning

Socially Cognizant Robotics for a Technology Enhanced Society

no code implementations • 27 Oct 2023 • Kristin J. Dana, Clinton Andrews, Kostas Bekris, Jacob Feldman, Matthew Stone, Pernille Hemmer, Aaron Mazzeo, Hal Salzman, Jingang Yi

Emerging applications of robotics, and concerns about their impact, require the research community to put human-centric objectives front-and-center.

Learning-Based Safe Motion Control of Vehicle Ski-Stunt Maneuvers

no code implementations • 3 Apr 2022 • Feng Han, Jingang Yi

This paper presents a safety guaranteed control method for an autonomous vehicle ski-stunt maneuver, that is, a vehicle moving with two one-side wheels.