no code implementations • 16 May 2024 • Joshua Pickard, Cooper Stansbury, Amit Surana, Anthony Bloch, Indika Rajapakse
Our methods, Dynamic Sensor Selection (DSS) and Structure-Guided Sensor Selection (SGSS), utilize temporal models and experimental data, offering a template for applying observability theory to unconventional data obtained from biological systems.
no code implementations • 25 Nov 2023 • José Ángel Acosta, Anthony Bloch, David Martín de Diego
We introduce a mathematical technique based on modifying a given Riemannian metric and we investigate its applicability to controlling and stabilizing constrained mechanical systems.
no code implementations • 21 Nov 2022 • Joshua Pickard, Can Chen, Rahmy Salman, Cooper Stansbury, Sion Kim, Amit Surana, Anthony Bloch, Indika Rajapakse
Recent advances in biological technologies, such as multi-way chromosome conformation capture (3C), require development of methods for analysis of multi-way interactions.
no code implementations • 28 Sep 2022 • Alexandre Anahory Simoes, Asier López-Gordón, Anthony Bloch, Leonardo Colombo
Forced variational integrators are given by the discretization of the Lagrange-d'Alembert principle for systems subject to external forces, and have proved useful for numerical simulation studies of complex dynamical systems.
no code implementations • 4 Jul 2022 • Alexandre Anahory Simoes, Efstratios Stratoglou, Anthony Bloch, Leonardo J. Colombo
Moreover, we characterize the dynamics for nonholonomic systems in terms of virtual nonholonomic constraints, i. e., we characterize when can we obtain nonholonomic dynamics from virtual nonholonomic constraints.
no code implementations • 25 May 2020 • Can Chen, Amit Surana, Anthony Bloch, Indika Rajapakse
In this paper, we develop a notion of controllability for hypergraphs via tensor algebra and polynomial control theory.
2 code implementations • 8 Jan 2020 • William Clark, Maani Ghaffari, Anthony Bloch
The functions can be defined on arbitrary smooth manifolds where the action of a Lie group aligns them.
1 code implementation • 1 Oct 2019 • Tzu-Yuan Lin, William Clark, Ryan M. Eustice, Jessy W. Grizzle, Anthony Bloch, Maani Ghaffari
In this paper, we extend the recently developed continuous visual odometry framework for RGB-D cameras to an adaptive framework via online hyperparameter learning.
1 code implementation • 3 Apr 2019 • Maani Ghaffari, William Clark, Anthony Bloch, Ryan M. Eustice, Jessy W. Grizzle
This paper reports on a novel formulation and evaluation of visual odometry from RGB-D images.