Optimal path planning in the presence of multiple kinodynamic constraints and limited onboard computation power is a key challenge for small on-orbit space robots. This work surveys parameterized function and machine-learning based path planning approaches based on number of constraints solved and computation complexity. Limitations of the existing approaches and potential directions are discussed.
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