Max Robotics — Global Service Robot Directory + US Certification

About

Milad Siami is pioneering the intersection of wireless sensing and robotics, with a focus on non-invasive, privacy-preserving activity recognition for autonomous systems. His core research leverages WiFi channel state information (CSI) as a "signal of opportunity," enabling robots to perceive and predict motion without relying on traditional vision or LiDAR sensors. Siami’s major contributions include the development of **RoboFiSense**, an attention-based framework for robotic arm activity recognition using WiFi, and the creation of **RoboMNIST**, a novel multimodal dataset that integrates CSI, video, and audio for multi-robot activity recognition. His work on robot motion prediction through CSI has garnered significant attention, with his most-cited papers accumulating over 50 citations collectively. Notably, his 2024 study on enhancing recognition with vision transformers and wavelet-transformed CSI demonstrates a sophisticated fusion of classical signal processing and modern deep learning. By addressing critical challenges such as limited visibility, line-of-sight constraints, and noise robustness, Siami is advancing a new paradigm for smart environments where robots can operate discreetly and effectively—paving the way for safer, more private human-robot collaboration in homes and industries.