Charles-Alexis Asselineau
Papers
2
Total Citations
31
H-Index
2
About
Charles-Alexis Asselineau is a researcher at the forefront of solar energy optimization, specializing in the intersection of robotics, computer vision, and large-scale renewable infrastructure. His work primarily focuses on developing autonomous inspection systems for concentrated solar power (CSP) plants and photovoltaic farms, addressing critical operational challenges like soiling and defect detection. Asselineau’s major contributions include pioneering a robotic vision system that uses aerial drones to assess mirror soiling levels, tackling real-world issues such as GPS drift and heat-induced positioning errors. His 2020 paper on this topic (16 citations) offers practical lessons for field deployment, while his 2019 work on waypoint planning (15 citations) provides algorithms for efficient autonomous aerial inspection of vast solar arrays. These studies collectively advance the reliability and energy output of solar infrastructure, with citation counts reflecting their growing relevance in renewable energy research. Asselineau’s achievements lie in bridging the gap between theoretical robotics and practical solar farm maintenance, offering scalable solutions for a sustainable energy future.
Research Focus
Key Achievements
Top Papers
- 1A robotic vision system for inspection of soiling at CSP plants16 citations · 2020
- 2