Cigil Ece Madan
Papers
1
Total Citations
53
H-Index
1
About
Cigil Ece Madan is a leading researcher in the field of physical human-robot interaction, with a primary focus on haptic communication and dyadic joint object manipulation. Her most-cited work, "Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation" (2014, 53 citations), provides foundational insights into how robots can interpret and respond to human physical cues during cooperative tasks. Madan’s major contribution lies in developing computational models that recognize haptic interaction patterns, enabling robots to infer human intentions and adapt their behavior in real-time—a critical step toward seamless human-robot collaboration. Her research has significantly advanced the understanding of intrinsic interaction properties, bridging the gap between human motor control and robotic systems. By addressing the challenge of inferring human intent through touch, Madan has laid the groundwork for more intuitive and responsive robotic assistants in manufacturing, rehabilitation, and assistive technologies. Her work continues to inspire new approaches in haptics and collaborative robotics, making her a key figure in shaping the future of physically interactive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1