Megha Sharma
Papers
1
Total Citations
62
H-Index
1
About
Megha Sharma investigates how movement communicates emotion, blending robotics, human-computer interaction, and the arts. Her most-cited work, "Communicating affect via flight path" (2013, 62 citations), pioneers the use of Rudolf Laban’s effort system—a framework for analyzing movement qualities—to design affective locomotion paths for robots and virtual agents. By demonstrating that non-life-like entities can convey moods and personalities through motion style alone, she bridges expressive movement theory with autonomous systems design. This foundational contribution has influenced affective computing, human-robot interaction, and animation, showing how subtle variations in flight paths can evoke joy, anger, or sadness. Her research empowers engineers to create more intuitive, emotionally resonant machines, while also offering artists new tools for expressive motion. With over 60 citations on this single paper, Sharma’s work stands as a key reference for anyone exploring the intersection of movement, emotion, and technology. Her interdisciplinary approach—rooted in dance notation yet applied to robotics—makes her a unique voice in shaping how machines can communicate non-verbally, opening doors for more natural human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1