74 citations · 83 across the 4 of their papers we have counts for
5 papers · 1 filter
Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing
Y. Deemo Chen, Arion Zimmermann, Thomas A. Berrueta +1
Ensuring accurate and stable state estimation is a challenging task crucial to safety-critical domains such as high-speed autonomous racing, where measurement uncertainty must be b…
Active Learning in Robotics: A Review of Control Principles
Annalisa T. Taylor, Thomas A. Berrueta, Todd D. Murphey
Active learning is a decision-making process. In both abstract and physical settings, active learning demands both analysis and action. This is a review of active learning in robot…
Dynamical System Segmentation for Information Measures in Motion
Thomas A. Berrueta, Ana Pervan, Kathleen Fitzsimons +1
Motions carry information about the underlying task being executed. Previous work in human motion analysis suggests that complex motions may result from the composition of fundamen…
Information Requirements of Collision-Based Micromanipulation
Alexandra Q. Nilles, Ana Pervan, Thomas A. Berrueta +2
We present a task-centered formal analysis of the relative power of several robot designs, inspired by the unique properties and constraints of micro-scale robotic systems. Our tas…
Data-Driven Gait Segmentation for Walking Assistance in a Lower-Limb Assistive Device
Aleksandra Kalinowska, Thomas A. Berrueta, Adam Zoss +1
Hybrid systems, such as bipedal walkers, are challenging to control because of discontinuities in their nonlinear dynamics. Little can be predicted about the systems' evolution wit…