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Abhishek Cauligi
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2020 – today
- 2024
- [i12]Tiberiu-Ioan Szatmari, Abhishek Cauligi:
Federated Multi-Agent Mapping for Planetary Exploration. CoRR abs/2404.02289 (2024) - [i11]Kazuya Echigo, Abhishek Cauligi, Behçet Açikmese:
Expected Time-Optimal Control: a Particle MPC-based Approach via Sequential Convex Programming. CoRR abs/2404.16269 (2024) - [i10]Deegan Atha, R. Michael Swan, Abhishek Cauligi, Anne Bettens, Edwin Goh, Dima Kogan, Larry H. Matthies, Masahiro Ono:
ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness. CoRR abs/2405.01673 (2024) - 2023
- [i9]Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry H. Matthies, Deegan Atha:
ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation. CoRR abs/2301.04630 (2023) - [i8]Julia Briden, Trey Gurga, Breanna Johnson, Abhishek Cauligi, Richard Linares:
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction. CoRR abs/2311.05135 (2023) - [i7]Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi:
Constraint-Informed Learning for Warm Starting Trajectory Optimization. CoRR abs/2312.14336 (2023) - 2022
- [j3]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:
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics 2(1): 1432-1506 (2022) - [j2]Abhishek Cauligi
, Preston Culbertson
CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. 7(2): 1447-1454 (2022) - [j1]Tony G. Chen
Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space. IEEE Robotics Autom. Mag. 29(3): 24-33 (2022) - [c4]Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen:
PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control. L4DC 2022: 34-46 - 2021
- [i6]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
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge. CoRR abs/2103.11470 (2021) - [i5]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR abs/2107.08143 (2021) - 2020
- [c3]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CDC 2020: 1698-1705 - [i4]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR abs/2004.03736 (2020) - [i3]Abhishek Cauligi, Tony G. Chen, Srinivasan A. Suresh, Michael Dille, Ruben Garcia Ruiz, Andres Mora Vargas, Marco Pavone, Mark R. Cutkosky:
Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot. CoRR abs/2009.09151 (2020)
2010 – 2019
- 2019
- [c2]Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone:
GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. ICRA 2019: 6741-6747 - [c1]Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone:
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. Robotics: Science and Systems 2019 - [i2]Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone:
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming. CoRR abs/1903.00155 (2019) - [i1]Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi, Thomas Lew, Marco Pavone:
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. CoRR abs/1905.07654 (2019)
Coauthor Index
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last updated on 2024-06-10 21:23 CEST by the dblp team
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