14 papers
Distributed Adaptive Estimation of Unknown Nonlinear Systems without Input Sharing
Moh Kamalul Wafi, Milad Siami
This paper studies distributed adaptive state estimation for discrete-time nonlinear systems with unknown source dynamics over directed communication networks. Each sensing agent e…
Bio-Inspired Event-Based Visual Servoing for Ground Robots
Maral Mordad, Kian Behzad, Debojyoti Biswas +2
Biological sensory systems are inherently adaptive, filtering out constant stimuli and prioritizing relative changes, likely enhancing computational and metabolic efficiency. Inspi…
Distributed Adaptive Estimation with ISS Guarantees for Sensor Networks with Partially Unknown Source Dynamics
Moh Kamalul Wafi, Hamidreza Montazeri Hedesh, Milad Siami
This paper studies distributed adaptive estimation over sensor networks with partially unknown source dynamics. We present parallel continuous-time and discrete-time designs in whi…
Beyond Amplitude: Channel State Information Phase-Aware Deep Fusion for Robotic Activity Recognition
Rojin Zandi, Hojjat Salehinejad, Milad Siami
Wi-Fi Channel State Information (CSI) has emerged as a promising non-line-of-sight sensing modality for human and robotic activity recognition. However, prior work has predominantl…
A Passivity-Agnostic Framework for Distributed Adaptive Synchronization under Unknown Leader Dynamics
Moh Kamalul Wafi, Milad Siami
We present a passivity-agnostic framework for distributed adaptive synchronization under position-only communication, bounded disturbances, and unknown leader dynamics. By passivit…
Generative Myopia: Why Diffusion Models Fail at Structure
Milad Siami
Graph Diffusion Models (GDMs) optimize for statistical likelihood, implicitly acting as \textbf{frequency filters} that favor abundant substructures over spectrally critical ones.…