cuNRTO delivers GPU-accelerated solvers for nonlinear robust trajectory optimization via custom CUDA kernels for SOC projections and ADMM, reporting up to 139.6x speedups on unicycle, quadcopter, and manipulator models.
10), which exhibits large accumulated tracking error and does not reli- ably reach the target region, the NRTO disturbance-feedback policy (Fig
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cuNRTO: GPU-Accelerated Nonlinear Robust Trajectory Optimization
cuNRTO delivers GPU-accelerated solvers for nonlinear robust trajectory optimization via custom CUDA kernels for SOC projections and ADMM, reporting up to 139.6x speedups on unicycle, quadcopter, and manipulator models.