Anisha Parsan
Papers
1
Total Citations
7
H-Index
1
About
Anisha Parsan is a researcher at the intersection of human-robot interaction and intelligent drone systems. Her work focuses on developing multi-tasking models that enable seamless communication between humans and autonomous drones, particularly in inspection and surveillance contexts. Her most-cited paper, "A multi-tasking model of speaker-keyword classification for keeping human in the loop of drone-assisted inspection" (2022, 7 citations), introduces a novel framework that integrates speaker identification and keyword classification to maintain human oversight in drone operations. This contribution is pivotal for ensuring safety and adaptability in real-world applications, such as infrastructure monitoring or disaster response, where human judgment remains critical. By bridging natural language processing with drone autonomy, Parsan’s research advances the goal of intuitive, collaborative human-machine teams. Her work underscores the importance of keeping humans “in the loop” in high-stakes environments, offering a scalable solution for industries seeking to balance automation with human control. As a rising voice in this field, Parsan’s innovations promise to shape the future of intelligent, responsive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1