DYNUS reports 100% simulation success and about 25% faster travel times than one baseline in one benchmark, using exploratory, safe, and contingency trajectories with a variable-elimination MIQP optimizer.
EGO-Planner: An ESDF-Free Gradient-Based Local Planner for Quadrotors,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
DYNUS reports 100% simulation success and about 25% faster travel times than one baseline in one benchmark, using exploratory, safe, and contingency trajectories with a variable-elimination MIQP optimizer.