7 citations · 7 across the 4 of their papers we have counts for
5 papers
Designing Active Tether-Net Systems for Space Debris Capture with Graph-Learning-Aided Mixed-Combinatorial Optimization
Feng Liu, Achira Boonrath, Gishnu Madhu +2
Active tether-net systems are a promising solution for capturing large non-cooperative targets, such as space debris, by deploying a flexible net manipulated by maneuverable units…
Quantifying Uncertainty in Space Debris Capture with Active Tether-Net Systems Caused by Noisy Observations
Feng Liu, Achira Boonrath, Eleonora M. Botta +1
As Low Earth Orbit has grown more crowded with space debris, the need for reliable and efficient debris removal solutions becomes more urgent. An active tether-net system with mane…
Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris
Achira Boonrath, Feng Liu, Elenora M. Botta +1
Maneuverable tether-net systems launched from an unmanned spacecraft offer a promising solution for the active removal of large space debris. Guaranteeing the successful capture of…
Particle Swarm Optimization-Based Co-State Initialization for Low-Thrust Minimum-Fuel Trajectory Optimization
Grant R. Hecht, Eleonora M. Botta
In this paper, Particle Swarm Optimization with energy-to-fuel continuation is proposed for initializing the co-state variables for low-thrust minimum-fuel trajectory optimization…
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System
Chen Zeng, Grant Hecht, Prajit KrisshnaKumar +3
Tether-net launched from a chaser spacecraft provides a promising method to capture and dispose of large space debris in orbit. This tether-net system is subject to several sources…