11 citations · 29 across the 34 of their papers we have counts for
7 papers · 1 filter
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio
Kian Behzad, Rojin Zandi, Elaheh Motamedi +2
We introduce a novel dataset for multi-robot activity recognition (MRAR) using two robotic arms integrating WiFi channel state information (CSI), video, and audio data. This multim…
Convergence Analysis of Gradient Flow for Overparameterized LQR Formulations
Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag
Motivated by the growing use of artificial intelligence (AI) tools in control design, this paper analyses the intersection between results from gradient methods for the model-free…
Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information
Rojin Zandi, Kian Behzad, Elaheh Motamedi +2
Vision-based methods are commonly used in robotic arm activity recognition. These approaches typically rely on line-of-sight (LoS) and raise privacy concerns, particularly in smart…
Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity for Systems with Neural Network Controllers
Hamidreza Montazeri Hedesh, Milad Siami
This paper introduces a novel method for the stability analysis of positive feedback systems with a class of fully connected feedforward neural networks (FFNN) controllers. By esta…
Regularizing Numerical Extremals Along Singular Arcs: A Lie-Theoretic Approach
Arthur Castello Branco de Oliveira, Milad Siami, Eduardo D. Sontag
Numerical ``direct'' approaches to time-optimal control often fail to find solutions that are singular in the sense of the Pontryagin Maximum Principle, performing better when sear…
Distributed Adaptive Control of Disturbed Interconnected Systems with High-Order Tuners
Moh. Kamalul Wafi, Milad Siami
This paper addresses the challenge of network synchronization under limited communication, involving heterogeneous agents with different dynamics and various network topologies, to…
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments
Elaheh Motamedi, Kian Behzad, Rojin Zandi +2
In the realm of robot action recognition, identifying distinct but spatially proximate arm movements using vision systems in noisy environments poses a significant challenge. This…