Embedded harmonic control for trajectory planning in large environments
Abstract
This paper presents an embedded FPGAbased architecture to compute navigation trajectories along a harmonic potential. The goals and obstacles may be changed during computation. Large environments are split into blocks. This approach, together with the use of an increasing precision, enables an optimization of the overall computation time that is theoretically and experimentally studied. Implementation results confirm outstanding speedup factors.
Domains
Artificial Intelligence [cs.AI]
Origin : Files produced by the author(s)
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