Max Robotics — Global Service Robot Directory + US Certification

About

Elaheh Motamedi is pioneering the intersection of robotics and wireless sensing, with a focus on non-intrusive, privacy-preserving activity recognition for autonomous systems. Her research centers on using passive WiFi signals—specifically Channel State Information (CSI)—to detect, recognize, and predict robotic arm motions in indoor environments, offering a compelling alternative to traditional vision- or LiDAR-based methods that require line-of-sight and raise privacy concerns. Motamedi’s major contributions include the development of RoboFiSense, an attention-based framework for robotic arm activity recognition via WiFi sensing, which has garnered 16 citations since 2024. She also introduced RoboMNIST, a novel multimodal dataset combining WiFi CSI, video, and audio for multi-robot activity recognition, cited 13 times in 2025. Her work on robot motion prediction using CSI (11 citations) and enhancing recognition with Vision Transformers and wavelet-transformed CSI (5 citations) further demonstrates her innovative approach to overcoming visibility and noise challenges. Motamedi’s research has significant implications for smart homes and industrial automation, where robust, privacy-aware sensing is critical. Her growing citation record and pioneering datasets position her as a rising leader in embodied AI and wireless sensing.