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About

Ninad Jadhav is a robotics researcher whose work sits at the intersection of wireless sensing, multi-robot coordination, and real-time perception systems. His most influential contributions center on harnessing Wi-Fi signals as a sensing modality for robotics — a novel approach that enables robots to measure relative bearing and angle-of-arrival to teammates even in non-line-of-sight and unmapped environments, without relying on external infrastructure. His WiFi-Sensor-for-Robotics (WSR) toolbox, released as an open-source framework, has made these capabilities accessible to the broader robotics community, with related papers collectively accumulating over 25 citations. Jadhav extended this sensing paradigm to multi-robot pose graph optimization through active rendezvous strategies, his most-cited work with 23 citations. Beyond wireless sensing, his "Follow Anything" system — garnering 20 citations — demonstrates a versatile open-set detection, tracking, and following framework operable in real-time across diverse robotics applications. His reach extends even to marine biology, where he applied multi-agent reinforcement learning to enable autonomous robots to rendezvous with sperm whales. Together, these contributions reflect a researcher who consistently bridges theoretical sensing frameworks with practical, impactful robotics deployments.