Max Robotics — Global Service Robot Directory + US Certification

About

Kelsey Saulnier is a leading researcher in autonomous robotics, specializing in resilient multi-robot systems, fast flight in GPS-denied environments, and active 3-D mapping. Her most impactful work, "Fast, autonomous flight in GPS‐denied and cluttered environments" (196 citations), introduced breakthrough methods enabling drones to navigate at high speeds through unknown, obstacle-filled spaces without external positioning—a critical capability for search-and-rescue and industrial inspection. In "Resilient Flocking for Mobile Robot Teams" (193 citations), she pioneered graph-theoretic techniques to maintain formation control even when some robots are defective or malicious, directly addressing security and fault-tolerance in swarm robotics. Her more recent contributions include information-theoretic active exploration using signed distance fields (30 citations) and dense 3-D mapping that accounts for spatial correlation via Gaussian filtering, improving map accuracy in real-world deployments. Saulnier’s work bridges theory and practice, earning her recognition for advancing the reliability and autonomy of robots operating in complex, unstructured environments. Her research continues to shape how teams of robots collaborate safely and efficiently under uncertainty.