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Information-theoretic limits on control performance are now computable even when feedback matters most, thanks to a new bound that self-consistently accounts for the controller's impact on sensor information.
Achieve up to 139x speedup in robust trajectory optimization by exploiting GPU parallelism with custom CUDA kernels and novel optimization architectures.
