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About

Jasmine Jerry Aloor is an emerging researcher working at the intersection of autonomous systems, aerial robotics, and multi-agent coordination. Her work addresses some of the most pressing challenges in modern robotics and aviation, particularly the safe integration of unmanned aerial vehicles (UAVs) into increasingly complex operational environments. Aloor's research spans three interconnected domains: manned-unmanned aircraft teaming in shared airspace, multi-UAV formation control, and safe multi-agent reinforcement learning. Her 2022 paper on close-proximity manned and unmanned aircraft operations proposes integrated frameworks that enable autonomous systems to operate predictably alongside human-piloted traffic — a critical step toward real-world UAV deployment. Complementing this, her work on bounded distance control for multi-UAV target tracking introduces formal safety constraints that preserve formation integrity during collaborative missions. Her aerodynamic investigations into box wing designs for micro aerial vehicles reflect a well-rounded foundation in both theoretical and experimental aspects of aerial robotics. More recently, her 2025 work on layered safety in multi-agent reinforcement learning tackles the fundamental challenge of embedding hard safety guarantees into learning-based navigation systems. With citations accumulating across multiple research threads, Aloor represents a promising voice in the autonomous systems community, bridging control theory, machine learning, and aerospace engineering.