Abhishek Cauligi

25 papers A* 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Diffusion Policies for Generative Modeling of Spacecraft Trajectories. CoRR Julia Briden, Breanna Johnson, Richard Linares, Abhishek Cauligi
2025	J	`jnl`	Flight Validation of Learning-Based Trajectory Optimization for the Astrobee Free-Flyer. CoRR Somrita Banerjee, Abhishek Cauligi, Marco Pavone
2025	J	`jnl`	Learning Decentralized Routing Policies via Graph Attention-based Multi-Agent Reinforcement Learning in Lunar Delay-Tolerant Networks. CoRR Federico Lozano-Cuadra, Beatriz Soret, Marc Sanchez Net, Abhishek Cauligi, Federico Rossi
2025	J	`jnl`	Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance. CoRR Julia Briden, Trey Gurga, Breanna Johnson, Abhishek Cauligi, Richard Linares
2024	J	`jnl`	Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization. CoRR Kazuya Echigo, Abhishek Cauligi, Saptarshi Bandyopadhyay, Daniel P. Scharf, Gregory Lantoine, Behçet Açikmese, Issa Nesnas
2024	J	`jnl`	Expected Time-Optimal Control: a Particle MPC-based Approach via Sequential Convex Programming. CoRR Kazuya Echigo, Abhishek Cauligi, Behçet Açikmese
2024	—	`conf`	Expected Time-Optimal Control: a Particle Model Predictive Control-based Approach via Sequential Convex Programming. CDC Kazuya Echigo, Abhishek Cauligi, Behçet Açikmese
2024	J	`jnl`	Federated Multi-Agent Mapping for Planetary Exploration. CoRR Tiberiu-Ioan Szatmari, Abhishek Cauligi
2024	J	`jnl`	ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness. CoRR Deegan Atha, R. Michael Swan, Abhishek Cauligi, Anne Bettens, Edwin Goh, Dima Kogan, Larry H. Matthies, Masahiro Ono
2023	J	`jnl`	Constraint-Informed Learning for Warm Starting Trajectory Optimization. CoRR Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi
2023	J	`jnl`	Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction. CoRR Julia Briden, Trey Gurga, Breanna Johnson, Abhishek Cauligi, Richard Linares
2023	J	`jnl`	ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation. CoRR Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry H. Matthies, Deegan Atha
2022	J	`jnl`	CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
2022	J	`jnl`	NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics 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 T. 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
2022	—	`conf`	PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control. L4DC Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen
2022	J	`jnl`	Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space. IEEE Robotics Autom. Mag. Tony G. Chen, Abhishek Cauligi, Srinivasan A. Suresh, Marco Pavone, Mark R. Cutkosky
2021	J	`jnl`	CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
2021	J	`jnl`	NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge. CoRR 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 T. 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
2020	J	`jnl`	Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot. CoRR Abhishek Cauligi, Tony G. Chen, Srinivasan A. Suresh, Michael Dille, Ruben Garcia Ruiz, Andres Mora Vargas, Marco Pavone, Mark R. Cutkosky
2020	—	`conf`	Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CDC Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
2020	J	`jnl`	Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
2019	J	`jnl`	GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming. CoRR Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone
2019	A*	`conf`	GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. ICRA Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone
2019	—	`conf`	Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. Robotics: Science and Systems Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone
2019	J	`jnl`	Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. CoRR Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi, Thomas Lew, Marco Pavone