119 citations · 146 across the 3 of their papers we have counts for
4 papers · 1 filter
Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
Somrita Banerjee, Abhishek Cauligi, Marco Pavone
Trajectory optimization is a cornerstone of modern robot autonomy, enabling systems to compute trajectories and controls in real-time while respecting safety and physical constrain…
ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness
Deegan Atha, R. Michael Swan, Abhishek Cauligi +5
The ability to determine the pose of a rover in an inertial frame autonomously is a crucial capability necessary for the next generation of surface rover missions on other planetar…
CoCo: Online Mixed-Integer Control via Supervised Learning
A. Cauligi, P. Culbertson, E. Schmerling +3
Many robotics problems, from robot motion planning to object manipulation, can be modeled as mixed-integer convex programs (MICPs). However, state-of-the-art algorithms are still u…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…