Emily Hand
Papers
1
Total Citations
51
H-Index
1
About
Dr. Emily Hand is a leading researcher in autonomous robotics, specializing in path planning and exploration for aerial systems in complex, GPS-denied environments. Her most impactful work, "Learning-based Path Planning for Autonomous Exploration of Subterranean Environments" (2020, 51 citations), introduces a novel methodology that combines imitation learning with a graph-based path planner to enable drones to navigate and explore caves, tunnels, and mines. By training a neural network to mimic an expert planner, Dr. Hand’s approach dramatically reduces computational overhead while maintaining high exploration efficiency—a critical advance for search-and-rescue and subterranean mapping missions. This work has been widely recognized for bridging the gap between classical planning and modern learning-based techniques, influencing subsequent research in field robotics. Her contributions are foundational for deploying autonomous systems in hazardous, unstructured spaces, and her citation record reflects the growing importance of her methods in the robotics community. Dr. Hand continues to push the boundaries of aerial autonomy, making her a key figure in the next generation of intelligent exploration systems.
Research Focus
Key Achievements
Top Papers
- 1