Artificial Intelligence and Machine Learning in Planetary Science
A companion collection for the ACM 2026 talk by Valerio Carruba
Stackhouse, Wesley T. et al. (2020)
An adaptive control law uses the Udwadia-Kalaba framework to hover near an asteroid despite unknown gravity parameters.
The work addresses a key challenge in asteroid exploration: maintaining a stable hover when the asteroid’s gravity is not well known. It introduces an adaptive control design built on the Udwadia-Kalaba formulation, extending that framework to handle uncertainty in gravitational parameters. The result is a control approach aimed at making proximity operations around small bodies more robust, which is important for future inspection, sampling, and landing missions.
The paper uses an adaptive control approach based on the Udwadia-Kalaba formulation for constrained spacecraft motion.
Background in spacecraft dynamics, adaptive control, and asteroid proximity operations is helpful.
An innovative application of AI to spacecraft guidance and control, this work introduces an adaptive control strategy for stable hovering around asteroids with uncertain gravity. It highlights the growing role of intelligent algorithms in enabling autonomous proximity operations, inspection, and future sampling and landing missions.
— VC