Active debris removal missions pose demanding guidance, navigation and control
requirements. We present a novel approach which adopts deep learning technologies to the …

Abstract Future Active Debris Removal missions will require an autonomous spacecraft
(chaser) to safely monitor at close distance, and then approach and dispose an inactive …

Abstract Simultaneous Localization and Mapping (SLAM) is one of the key robotics tasks as
it tackles simultaneous mapping of the unknown environment defined by multiple landmark …

It is a big challenge for autonomous robots to estimate state efficiently and generate high-
precision 3D maps under low texture indoor scenes. This paper proposes a visual-inertial …

We address the estimation of the 6D pose of an unknown target spacecraft relative to a
monocular camera, a key step towards the autonomous rendezvous and proximity …

In this paper a novel approach based on constrained extended Kalman filter is proposed for
estimating the relative state of the uncooperative spacecraft. The approach uses information …

Three-dimensional (3D) reconstruction technology is the key technology to establish and
express the objective world by using computer, and it is widely used in real 3D, automatic …

Robots are increasingly expected to replace humans in many repetitive and high‐precision
tasks, of which surface scanning is a typical example. However, it is usually difficult for a …

Point clouds based three dimensional (3D) registration for the space target pose estimation
requires high precision and noise robustness. To enhance the registration accuracy, a novel …

With the explosion of the number of meteoroid/orbital debris in terrestrial space in recent
years, the detection environment of spacecraft becomes more complex. This phenomenon …