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.
Transformer-based model predictive control: Trajectory optimization via sequence modeling,
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Flow-Opt combines a flow-matching DiT model with a custom differentiable safety filter and learned initialization to enable fast centralized trajectory optimization for tens of robots.
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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.
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Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
Flow-Opt combines a flow-matching DiT model with a custom differentiable safety filter and learned initialization to enable fast centralized trajectory optimization for tens of robots.