A motion planning algorithm using cross-entropy stochastic optimization on heteroscedastic Gaussian process trajectories reports higher success rates than GPMP2 in complex environments with comparable runtime.
Chomp: Covariant hamiltonian optimization for motion planning,
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A quadrotor trajectory generation pipeline combines kinodynamic search in discretized control space, B-spline optimization using Euclidean distance field gradients and convex hull properties, and iterative time adjustment on non-uniform B-splines to produce minimum-time dynamically feasible paths.
citing papers explorer
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Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes
A motion planning algorithm using cross-entropy stochastic optimization on heteroscedastic Gaussian process trajectories reports higher success rates than GPMP2 in complex environments with comparable runtime.
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Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight
A quadrotor trajectory generation pipeline combines kinodynamic search in discretized control space, B-spline optimization using Euclidean distance field gradients and convex hull properties, and iterative time adjustment on non-uniform B-splines to produce minimum-time dynamically feasible paths.