TOP uses consensus ADMM with local closed-form updates so that one optimization step costs the same regardless of how many pieces the trajectory is split into, enabling very fast large-scale trajectory optimization.
Finding locally optimal, collision-free trajectories with sequential con- vex optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
TOP: Trajectory Optimization via Parallel Optimization towards Constant Time Complexity
TOP uses consensus ADMM with local closed-form updates so that one optimization step costs the same regardless of how many pieces the trajectory is split into, enabling very fast large-scale trajectory optimization.