Carl Leake

18 papers A 1Journal 17
YearRankTypeTitle / Venue / Authors
2024 J jnl
EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration.
Sci. Robotics
Tiago Stegun Vaquero, Guglielmo Daddi, Rohan Thakker, Michael Paton, Ashkan 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 S. Gardner, M. Cable, Michel D. Ingham, Masahiro Ono
2024 J jnl
Flight Demonstration and Model Validation of a Prototype Variable-Altitude Venus Aerobot.
CoRR
Jacob S. Izraelevitz, Siddharth Krishnamoorthy, Ashish Goel, Caleb Turner, Carolina Aiazzi, Michael T. Pauken, Kevin Carlson, Gerald Walsh, Carl Leake, Carlos Quintana, Christopher Lim, Abhinandan Jain, Leonard Dorsky, Kevin Baines, James A. Cutts, Paul K. Byrne, Tim Lachenmeier, Jeffery L. Hall
2023 A conf
EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures.
IROS
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
2021 J jnl
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.
Neurocomputing
Enrico Schiassi, Roberto Furfaro, Carl Leake, Mario De Florio, Hunter Johnston, Daniele Mortari
2020 J jnl
Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations.
Mach. Learn. Knowl. Extr.
Carl Leake, Daniele Mortari
2020 J jnl
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.
CoRR
Enrico Schiassi, Carl Leake, Mario De Florio, Hunter Johnston, Roberto Furfaro, Daniele Mortari
2020 J jnl
Least-squares Solutions of Eighth-order Boundary Value Problems using the Theory of Functional Connections.
CoRR
Hunter Johnston, Carl Leake, Daniele Mortari
2020 J jnl
Motivations and Preliminary Design for Mid-Air Deployment of a Science Rotorcraft on Mars.
CoRR
Jeff Delaune, Jacob S. 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
2020 J jnl
Non-Dimensional Star-Identification.
Sensors
Carl Leake, David Arnas, Daniele Mortari
2020 J jnl
Non-dimensional Star-Identification.
CoRR
Carl Leake, David Arnas, Daniele Mortari
2020 J jnl
Random Sampling using k-vector.
CoRR
David Arnas, Carl Leake, Daniele Mortari
2020 J jnl
The
Appl. Math. Comput.
David Arnas, Carl Leake, Daniele Mortari
2020 J jnl
The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations.
CoRR
Carl Leake, Hunter Johnston, Daniele Mortari
2020 J jnl
The n-dimensional k-vector and its application to orthogonal range searching.
CoRR
David Arnas, Carl Leake, Daniele Mortari
2019 J jnl
Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections.
Mach. Learn. Knowl. Extr.
Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari
2019 J jnl
Random Sampling Using $k$k-Vector.
Comput. Sci. Eng.
David Arnas, Carl Leake, Daniele Mortari
2018 J jnl
Deep ToC: A New Method for Estimating the Solutions of PDEs.
CoRR
Carl Leake
2018 J jnl
Theory of Connections Applied to Support Vector Machines to Solve Differential Equations.
CoRR
Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari