4 papers
Neural-ESO: A Dual-Pathway Architecture for Provably Robust Learning-Based Control
Fan Zhang, Richie Suganda, Jinfeng Chen +4
A learning-enabled disturbance-rejection framework based on a Neural Extended State Observer (Neural-ESO) is presented in this letter. Unlike existing learning-based control method…
ELASTIC: Efficient Once For All Iterative Search for Object Detection on Microcontrollers
Tony Tran, Qin Lin, Bin Hu
Deploying high-performance object detectors on TinyML platforms poses significant challenges due to tight hardware constraints and the modular complexity of modern detection pipeli…
Unified Disturbance Aware Safe Kinematic Control for Closed-Architecture Robots
Fan Zhang, Jinfeng Chen, Joseph J. B. Mvogo Ahanda +4
In commercial robotic systems, it is common to encounter a closed inner-loop torque controller that is not user-modifiable. However, the outer-loop controller, which sends kinemati…
SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training
Shaharyar Ahmed Khan Tareen, Lei Fan, Xiaojing Yuan +2
Once-for-All (OFA) training enables a single super-net to generate multiple sub-nets tailored to diverse deployment scenarios, supporting flexible trade-offs among accuracy, robust…