Abhishek Cauligi

Orcid: 0000-0003-1262-0859

According to our database1, Abhishek Cauligi authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness.
CoRR, 2024

Expected Time-Optimal Control: a Particle MPC-based Approach via Sequential Convex Programming.
CoRR, 2024

Federated Multi-Agent Mapping for Planetary Exploration.
CoRR, 2024

2023
Constraint-Informed Learning for Warm Starting Trajectory Optimization.
CoRR, 2023

Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction.
CoRR, 2023

ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation.
CoRR, 2023

2022
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.
Field Robotics, March, 2022

Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space.
IEEE Robotics Autom. Mag., 2022

CoCo: Online Mixed-Integer Control Via Supervised Learning.
IEEE Robotics Autom. Lett., 2022

PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control.
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.
CoRR, 2021

2020
Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot.
CoRR, 2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.
Proceedings of the Robotics: Science and Systems XV, 2019

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming.
Proceedings of the International Conference on Robotics and Automation, 2019


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