Carl Leake

According to our database, Carl Leake authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration.

Tiago Stegun Vaquero, Guglielmo Daddi, Rohan Thakker, Michael Paton, A. Jasour, Marlin P. Strub, R. Michael Swan, Rob Royce, Matthew Gildner, L. Phillipe Tosi, Marcel Veismann, Peter V. Gavrilov, Eloise Marteau, Joseph Bowkett, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman, Andrew L. Orekhov, Tristan Hasseler, Carl Leake, Benjamin Nuernberger, Pedro Proença, William Reid, William Talbot, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper, Rachel Etheredge, Christiahn Roman, Dan Levine, Kyohei Otsu, Sarah Yearicks, Hovhannes Melikyan, Richard Rieber, Kalind C. Carpenter, Jeremy Nash, Abhinandan Jain, Lori Shiraishi, Matthew Robinson, Matthew J. Travers, Howie Choset, Joel W. Burdick, Alex Gardner, M. Cable, Michel D. Ingham, Masahiro Ono

Sci. Robotics, 2024

2023

EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures.

Rohan Thakker, Michael Paton, Marlin P. Strub, R. Michael Swan, Guglielmo Daddi, Rob Royce, L. Phillipe Tosi, Matthew Gildner, Tiago Vaquero, Marcel Veismann, Peter V. Gavrilov, Eloise Marteau, Joseph Bowkett, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman, Andrew L. Orekhov, Tristan Hasseler, Carl Leake, Benjamin Nuernberger, Pedro Proença, William Reid, William Talbot, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper, Rachel Etheredge, Christiahn Roman, Dan Levine, Kyohei Otsu, Hovhannes Melikyan, Jeremy Nash, Richard Rieber, Kalind C. Carpenter, Abhinandan Jain, Lori Shiraishi, Daniel Pastor, Sarah Yearicks, Michel D. Ingham, Matthew Robinson, Ali Agha, Matthew J. Travers, Howie Choset, Joel Burdick, Masahiro Ono

IROS, 2023

2021

Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.

Enrico Schiassi, Roberto Furfaro, Carl Leake, Mario De Florio, Hunter Johnston, Daniele Mortari

Neurocomputing, 2021

2020

Non-Dimensional Star-Identification.

Carl Leake, David Arnas, Daniele Mortari

Sensors, 2020

Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations.

Carl Leake, Daniele Mortari

Mach. Learn. Knowl. Extr., 2020

Motivations and Preliminary Design for Mid-Air Deployment of a Science Rotorcraft on Mars.

Jeff Delaune, Jacob Izraelevitz, Larry A. Young, William Rapin, Evgeniy Sklyanskiy, Wayne Johnson, Aaron Schutte, Abigail Fraeman, Valerie Scott, Carl Leake, Erik Ballesteros, Shannah Withrow, Raghav Bhagwat, Haley Cummings, Kim Aaron, Marcel Veismann, Skylar Wei, Regina Lee, Luis Pabon Madrid, Morteza Gharib, Joel Burdick

CoRR, 2020

The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations.

Carl Leake, Hunter Johnston, Daniele Mortari

CoRR, 2020

Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.

Enrico Schiassi, Carl Leake, Mario De Florio, Hunter Johnston, Roberto Furfaro, Daniele Mortari

CoRR, 2020

Random Sampling using k-vector.

David Arnas, Carl Leake, Daniele Mortari

CoRR, 2020

The n-dimensional k-vector and its application to orthogonal range searching.

David Arnas, Carl Leake, Daniele Mortari

CoRR, 2020

Least-squares Solutions of Eighth-order Boundary Value Problems using the Theory of Functional Connections.

Hunter Johnston, Carl Leake, Daniele Mortari

CoRR, 2020

The <i>n</i>-dimensional <i>k</i>-vector and its application to orthogonal range searching.

David Arnas, Carl Leake, Daniele Mortari

Appl. Math. Comput., 2020

2019

Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections.

Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari

Mach. Learn. Knowl. Extr., 2019

Random Sampling Using $k$k-Vector.

David Arnas, Carl Leake, Daniele Mortari

Comput. Sci. Eng., 2019

2018

Deep ToC: A New Method for Estimating the Solutions of PDEs.

Carl Leake

CoRR, 2018

Theory of Connections Applied to Support Vector Machines to Solve Differential Equations.

Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari

CoRR, 2018