Abstract: Deep learning has emerged as a powerful tool for enhancing Direction-of-Arrival (DOA) estimation, offering resilience to noise, model mismatches, and computational inefficiencies inherent in ...
Abstract: Designing safety-critical controllers for acceleration-controlled unicycle robots is challenging, as control inputs may not appear in the constraints of control Lyapunov functions (CLFs) and ...
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