Papers
6
Total Citations
64
H-Index
3
About
Caroline Essert is a researcher whose work bridges two distinct but complementary domains: autonomous agricultural robotics and computer-assisted medical interventions. Her most significant contributions lie in developing sophisticated path planning algorithms, with a particular focus on complete coverage path planning for wheeled agricultural robots — a body of work that has garnered substantial attention, including 28 citations for her landmark 2023 paper on the subject. Building on this foundation, Essert has advanced the field further with innovative 3D hybrid path planning approaches for optimizing robot navigation across agricultural fields, published in 2024. Her research directly addresses pressing real-world challenges, including improving farming efficiency while minimizing environmental impact — goals of growing urgency in modern precision agriculture. Equally notable is Essert's earlier work in medical robotics, where she contributed to automatic needle placement planning for robot-assisted percutaneous procedures (2018, 14 citations) and dynamic path planning for abdominal interventions during free breathing (2020). These contributions demonstrate her versatility and deep expertise in computational geometry and motion planning across high-stakes application domains. Her consistent output across robotics, agriculture, and medical technology positions her as a multidisciplinary researcher making meaningful, practical impacts in autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Complete coverage path planning for wheeled agricultural robots28 citations · 2023
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- 4Complete Coverage Path Planning for wheeled agricultural robots3 citations · 2022
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