Carnegie Mellon University

SURF Student’s AI Kitchen Tracker Aimed at Empowering Older Adults

As a junior majoring in AI at Carnegie Mellon University, Glenda Tan is using her SURF opportunity to address a growing global challenge: helping older adults live independently and with dignity.
IEEE

Reinforcement Learning-Based Predefined-Time Tracking Control for Input-Saturated Nonlinear Systems With Performance Guarantees

Abstract: This paper addresses the predefined-time tracking control problem for nonlinear systems subject to predetermined performance metrics and input saturation. With the assistance of the ...
IEEE

Enhancing Attitude Tracking With Self-Learning Control Using Tanh-Type Learning Intensity

Abstract: This paper investigates the attitude tracking control problem for spacecraft. A tanh-type self-learning control (TSLC) approach with variable learning intensity (VLI) is proposed, which ...