AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Resilient Motion Planning for Free-Flying Space Robots under Actuator Failures

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Free-flying robots rely on multiple thrusters to maneuver in space. If one or more of these thrusters fail, the robot may lose control authority and risk mission failure. At the same time, their free-flying nature implies that, even in the absence of actuation, they continue along (locally) straight-line trajectories. In this work we present a probabilistic, proactive, motion planning framework that explicitly accounts for actuator failures in space. We model actuator failure modes as a Markov chain and propagate the probability of successfully reaching the goal along the planning horizon. Pre

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-19T20:28:14.107Z. This is not the publication date.