Autonomous Asteroid Characterization Through Nanosatellite Swarming
Kaitlin Dennison, Nathan Stacey, and Simone D'Amico

TL;DR
This paper introduces a novel autonomous nanosatellite swarming framework for asteroid exploration, enabling simultaneous navigation and detailed characterization without prior shape models or high-resource systems.
Contribution
It develops a comprehensive SNAC framework for autonomous asteroid characterization using multi-agent stereovision, robust state estimation, and shape modeling, advancing current mission autonomy.
Findings
Validated through numerical simulation of three spacecraft orbiting asteroid 433 Eros.
Demonstrated autonomous and accurate SNAC without prior shape models.
Achieved effective asteroid characterization using low SWaP-C nanosatellites.
Abstract
This paper first defines a class of estimation problem called simultaneous navigation and characterization (SNAC), which is a superset of simultaneous localization and mapping (SLAM). A SNAC framework is then developed for the Autonomous Nanosatellite Swarming (ANS) mission concept to autonomously navigate about and characterize an asteroid including the asteroid gravity field, rotational motion, and 3D shape. The ANS SNAC framework consists of three modules: 1) multi-agent optical landmark tracking and 3D point reconstruction using stereovision, 2) state estimation through a computationally efficient and robust unscented Kalman filter, and 3) reconstruction of an asteroid spherical harmonic shape model by leveraging a priori knowledge of the shape properties of celestial bodies. Despite significant interest in asteroids, there are several limitations to current asteroid rendezvous…
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Taxonomy
TopicsAstro and Planetary Science · Space Satellite Systems and Control · Robotics and Sensor-Based Localization
MethodsOPT · Gravity
