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cs.RO2026
Achieving Asymptotic Near-Optimality Without -Similarity
Michael Moncton, Eric Frew
Sampling-based motion planning algorithms are a popular class of trajectory planning algorithm due to their speed in complex, high-dimensional environments and ability to handle ki…
cs.RO2023
Path Planning in 3D with Motion Primitives for Wind Energy-Harvesting Fixed-Wing Aircraft
Seung-Keol Ryu, Michael Moncton, Han-Lim Choi +1
In this work, a set of motion primitives is defined for use in an energy-aware motion planning problem. The motion primitives are defined as sequences of control inputs to a simpli…