Moad Idrissi
Papers
2
Total Citations
39
H-Index
2
About
Moad Idrissi is a robotics researcher whose work sits at the intersection of autonomous systems, environmental monitoring, and human-robot collaboration. His research focuses on developing intelligent robotic platforms—from quadruped robots and hexacopter UAVs to systems enhanced by large language models—to solve complex, real-world problems. In his highly cited 2022 study, Idrissi pioneered the use of a semi-autonomous quadruped robot combined with a hexacopter UAV for evaluating forest ecosystems, addressing the critical need for accurate, timely monitoring in UK forestry management. This work, which has garnered 23 citations, demonstrates how robotics can replace tedious, time-consuming citizen science data collection, directly supporting economic growth and climate regulation. More recently, Idrissi has broken new ground in human-robot interaction, as evidenced by his 2025 paper on joint robot planning with large language models (16 citations). This work explores how LLMs can enable more natural, intuitive collaboration between humans and robots, pushing the boundaries of autonomous decision-making. Through these contributions, Idrissi is shaping a future where robots work alongside humans—and nature—more intelligently and effectively.
Research Focus
Key Achievements
Top Papers
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