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Abhishek Cauligi
Abhishek Cauligi
Robotics Technologist, NASA Jet Propulsion Lab
Verified email at jpl.nasa.gov
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Cited by
Year
Nebula: Quest for robotic autonomy in challenging environments; team costar at the darpa subterranean challenge
A Agha, K Otsu, B Morrell, DD Fan, R Thakker, A Santamaria-Navarro, ...
arXiv preprint arXiv:2103.11470, 2021
1882021
Gusto: Guaranteed sequential trajectory optimization via sequential convex programming
R Bonalli, A Cauligi, A Bylard, M Pavone
2019 International conference on robotics and automation (ICRA), 6741-6747, 2019
1662019
Trajectory optimization on manifolds: A theoretically-guaranteed embedded sequential convex programming approach
R Bonalli, A Bylard, A Cauligi, T Lew, M Pavone
arXiv preprint arXiv:1905.07654, 2019
552019
Coco: Online mixed-integer control via supervised learning
A Cauligi, P Culbertson, E Schmerling, M Schwager, B Stellato, M Pavone
IEEE Robotics and Automation Letters 7 (2), 1447-1454, 2021
522021
Learning mixed-integer convex optimization strategies for robot planning and control
A Cauligi, P Culbertson, B Stellato, D Bertsimas, M Schwager, M Pavone
2020 59th IEEE Conference on Decision and Control (CDC), 1698-1705, 2020
492020
NeBula: TEAM CoSTAR’s robotic autonomy solution that won phase II of DARPA subterranean challenge
B Morrell, R Thakker, À Santamaria Navarro, A Bouman, X Lei, J Edlund, ...
Field robotics 2, 1432-1506, 2022
382022
Testing gecko-inspired adhesives with astrobee aboard the international space station: Readying the technology for space
TG Chen, A Cauligi, SA Suresh, M Pavone, MR Cutkosky
IEEE Robotics & Automation Magazine 29 (3), 24-33, 2022
202022
Shadownav: Crater-based localization for nighttime and permanently shadowed region lunar navigation
A Cauligi, RM Swan, H Ono, S Daftry, J Elliott, L Matthies, D Atha
2023 IEEE Aerospace Conference, 1-12, 2023
162023
PRISM: Recurrent neural networks and presolve methods for fast mixed-integer optimal control
A Cauligi, A Chakrabarty, S Di Cairano, R Quirynen
Learning for Dynamics and Control Conference, 34-46, 2022
142022
Multi-agent autonomy for space exploration on the cadre lunar technology demonstration
JP de la Croix, F Rossi, R Brockers, D Aguilar, K Albee, E Boroson, ...
2024 IEEE Aerospace Conference, 1-14, 2024
122024
Improving computational efficiency for powered descent guidance via transformer-based tight constraint prediction
J Briden, T Gurga, BJ Johnson, A Cauligi, R Linares
AIAA SCITECH 2024 Forum, 1760, 2024
62024
Constraint-informed learning for warm starting trajectory optimization
J Briden, C Choi, K Yun, R Linares, A Cauligi
arXiv preprint arXiv:2312.14336, 2023
52023
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
J Briden, BJ Johnson, R Linares, A Cauligi
AIAA SCITECH 2025 Forum, 2775, 2025
22025
Expected Time-Optimal Control: a Particle Model Predictive Control-based Approach via Sequential Convex Programming
K Echigo, A Cauligi, B Açıkmeşe
arXiv preprint arXiv:2404.16269, 2024
12024
Recurrent Prediction and Iterative Correction Method for fast Solution of Mixed-Integer Optimal Control
R Quirynen, A Chakrabarty, S Di Cairano, A Cauligi
US Patent App. 17/662,664, 2023
12023
Autonomous Trajectory Planning for Asteroid Reconnaissance under Uncertainty
A Cauligi, K Echigo, C Hayner, A Mittal, S Sarsilmaz, M Harris, ...
NOT AVAILABLE, 2025
2025
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
A Cauligi, P Briden, P Holt, J Simmons
NOT AVAILABLE, 2025
2025
Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance
A Cauligi, J Briden, T Gurga, B Johnson, R Linares
NOT AVAILABLE, 2025
2025
Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-Based Powered Descent Guidance
J Briden, T Gurga, BJ Johnson, A Cauligi, R Linares
AIAA SCITECH 2025 Forum, 2774, 2025
2025
Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization
K Echigo, A Cauligi, S Bandyopadhyay, D Scharf, G Lantoine, B Acikmese, ...
AIAA SCITECH 2025 Forum, 1702, 2025
2025
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