Data-driven methods such as reinforcement and imitation learning have achieved
remarkable success in robot autonomy. However, their data-centric nature still hinders them …

We propose AstroSLAM, a standalone vision-based solution for autonomous online
navigation around an unknown celestial target small body. AstroSLAM is predicated on the …

This review paper presents a comprehensive evaluation and forward‐looking perspective
on the underexplored topic of servicing target objects using spacecraft swarms. Such targets …

Existing deep reinforcement learning-based mobile robot navigation relies largely on single-
modal visual perception to perform local-scale navigation. However, multimodal visual …

Event sensors offer high temporal resolution visual sensing which makes them ideal for
perceiving fast visual phenomena without suffering from motion blur. Certain applications in …

A decentralized multi-sensor fusion-based resilient pose estimation architecture for
autonomous navigation of satellites around an asteroid is presented in this article …

Small bodies' exploration highlighted the need to develop new algorithms for deep space
probes navigation. The estimation of the small-body shape is a crucial step for relative …

For optimal decision making and collaborative task performance in multispacecraft missions,
it is essential for each spacecraft to maintain a state estimate of all the spacecraft in the …

MANY environments in which spacecraft operate are poorly specified, such as proximity
operations near small bodies, navigation in hazardous terrain, or precise entry, descent, and …

This paper presents Bennunet, a hybrid neural network-based method, devoted to on-board
spacecraft relative position and attitude estimation in the vicinity of minor bodies using …