This paper investigates the mission planning problem for spacecraft confronting orbital
debris to achieve autonomous avoidance. Firstly, combined with the avoidance …

In this paper, we present a computationally efficient sampling-based spacecraft relative
motion planning algorithm to reconfigure a spacecraft from a given initial state to a desired …

This paper presents the development and evaluation of an optimization-based autonomous
trajectory planning algorithm for the asteroid reconnaissance phase of a deep-space …

This paper presents a computationally efficient sampling-based spacecraft relative motion
planning algorithm to reconfigure a spacecraft from a given initial state to a desired final …

This paper investigates the mission planning problem for spacecraft confronting orbital
debris to achieve autonomous avoidance. Firstly, combined with the avoidance …

The authors of this paper had previously presented a sparse sampling-based spacecraft
relative motion planning algorithm called the Astrodynamics-informed kinodynamic motion …

The authors of this paper have previously shown that stochastic sampling-based robotic
motion planning algorithms can be augmented with knowledge of astrodynamics to achieve …