Web: http://arxiv.org/abs/2201.04180

Jan. 13, 2022, 2:10 a.m. | Chen Zeng, Grant Hecht, Prajit KrisshnaKumar, Raj K. Shah, Souma Chowdhury, Eleonora M. Botta

cs.LG updates on arXiv.org arxiv.org

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 of uncertainty in sensing and actuation that affect
the performance of its net launch and closing control. Earlier
reliability-based optimization approaches to design control actions however
remain challenging and computationally prohibitive to generalize over varying
launch scenarios and target (debris) state relative to the chaser. To search
for a general and reliable control policy, this paper presents a reinforcement
learning framework that …

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