Abhishek Cauligi

According to our database, Abhishek Cauligi authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness.

Deegan Atha, R. Michael Swan, Abhishek Cauligi, Anne Bettens, Edwin Goh, Dima Kogan, Larry H. Matthies, Masahiro Ono

CoRR, 2024

Expected Time-Optimal Control: a Particle MPC-based Approach via Sequential Convex Programming.

Kazuya Echigo, Abhishek Cauligi, Behçet Açikmese

CoRR, 2024

Federated Multi-Agent Mapping for Planetary Exploration.

Tiberiu-Ioan Szatmari, Abhishek Cauligi

CoRR, 2024

2023

Constraint-Informed Learning for Warm Starting Trajectory Optimization.

Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi

CoRR, 2023

Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction.

Julia Briden, Trey Gurga, Breanna Johnson, Abhishek Cauligi, Richard Linares

CoRR, 2023

ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation.

Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry H. Matthies, Deegan Atha

CoRR, 2023

2022

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hovhannes Melikyan, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

Field Robotics, March, 2022

Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space.

Tony G. Chen, Abhishek Cauligi, Srinivasan A. Suresh, Marco Pavone, Mark R. Cutkosky

IEEE Robotics Autom. Mag., 2022

CoCo: Online Mixed-Integer Control Via Supervised Learning.

Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone

IEEE Robotics Autom. Lett., 2022

PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control.

Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Yuki Kubo, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

CoRR, 2021

2020

Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot.

Abhishek Cauligi, Tony G. Chen, Srinivasan A. Suresh, Michael Dille, Ruben Garcia Ruiz, Andres Mora Vargas, Marco Pavone, Mark R. Cutkosky

CoRR, 2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.

Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.

Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone

Proceedings of the Robotics: Science and Systems XV, 2019

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming.

Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone

Proceedings of the International Conference on Robotics and Automation, 2019