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About

Gabrielle Hedrick is a pioneering roboticist whose work bridges the critical gap between terrestrial agriculture and extraterrestrial exploration. Her primary research areas encompass autonomous precision robotics, machine learning for space systems, and bio-inspired engineering. Hedrick’s most impactful contribution is the design of "B," an autonomous precision pollination robot, which addresses the global decline of natural pollinators. Her seminal 2018 paper on this system (85 citations) demonstrates how robotic pollinators can surpass natural ones in efficiency and uniformity, offering a scalable solution to food security challenges. Building on this expertise, Hedrick leads the MAARS project (Machine learning-based Analytics for Automated Rover Systems) at JPL, bringing cutting-edge self-driving AI to Mars rovers. This work (29 citations) represents a paradigm shift, adapting Earth’s autonomous vehicle revolution for the harsh environments of the Moon and Mars. By integrating high-performance spaceflight computing with advanced machine learning, Hedrick is enabling rovers to navigate with unprecedented autonomy. Her dual focus—solving immediate agricultural crises while advancing space exploration—showcases her unique ability to apply robotic intelligence across planetary scales. Hedrick’s work stands at the intersection of feeding humanity and expanding our reach into the solar system.