Despite the current surge of interest in autonomous robotic systems, robot activity
recognition within restricted indoor environments remains a formidable challenge …

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 …

Advancements in machine learning, coupled with Wi-Fi sensing using channel state
information (CSI), have emerged as a powerful approach for human activity and gesture …

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 …

Motivated by the growing use of Artificial Intelligence (AI) tools in control design, this paper
takes the first steps towards bridging the gap between results from Direct Gradient methods …

Using WiFi signals for indoor human activity recognition (HAR) has gained popularity in
interacting with smart devices. However, prior research has not focused on extracting hand …

This dissertation delves into the multifaceted intersection of optimization theory and control,
aiming to elucidate fundamental trade-offs and insights into the study of dynamical systems …