Max Robotics — Global Service Robot Directory + US Certification

About

Rojin Zandi is a pioneering researcher at the intersection of robotics and wireless sensing, whose work is redefining how autonomous systems perceive and interact with their environments. Her core research areas include robotic activity recognition, multimodal sensing, and passive WiFi-based localization, where she has made groundbreaking contributions that address fundamental limitations of traditional vision-based approaches. Zandi’s most influential work, “RoboFiSense” (2024, 16 citations), introduces an attention-based framework that leverages WiFi channel state information for robotic arm activity recognition, overcoming the line-of-sight constraints and privacy concerns inherent to camera systems. She further advanced the field with “RoboMNIST” (2025, 13 citations), a novel multimodal dataset combining WiFi, video, and audio data for multi-robot activity recognition—a resource that has become instrumental for researchers exploring signal-of-opportunity sensing. Her earlier work on robot motion prediction using channel state information (2023, 11 citations) established foundational techniques for motion detection in visually obstructed environments. With additional publications on vision transformers and robustness evaluation in noisy settings, Zandi has accumulated over 50 citations in just three years, demonstrating rapid impact. Her innovative fusion of passive sensing with machine learning is paving the way for privacy-preserving, non-line-of-sight robotic systems in smart homes and industrial automation.