Abstract: This paper investigates the problem of interval trajectory tracking control for an automated guided vehicle in the presence of unknown-but-bounded noises. A trajectory tracking control ...
Abstract: This letter presents a theoretical framework for estimating the trajectory-based region of attraction in nonlinear higher-order networks. A Lyapunov-based criterion is established for ...
We propose a novel multi-pose loss function to train a neural network for 6D pose estimation, using synthetic data and evaluating it on real images. Our loss is inspired by the VSD (Visible Surface ...
End-to-end stereo depth estimation workflow using Semi-Global Matching (SGM), bridging Python reference implementations and FPGA-oriented hardware designs with transparent validation and visual ...
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