Christopher De
Papers
1
Total Citations
206
H-Index
1
About
Christopher De is a leading innovator in soft robotics and bioinspired sensing, with a focus on creating materials that blur the line between structure and intelligence. His most-cited work, "Soft optoelectronic sensory foams with proprioception" (2018, 206 citations), introduced a groundbreaking approach to soft robot self-awareness: an elastomer foam internally illuminated by optical fibers that uses machine learning to detect its own deformation. This work fundamentally advanced the field of soft robot control by enabling proprioception—the sense of body position—without rigid sensors. De’s research integrates materials science, optics, and machine learning to develop soft, stretchable systems that can feel, respond, and adapt. His contributions have been widely recognized for bridging the gap between soft matter and intelligent behavior, with applications ranging from wearable robotics to human-machine interaction. By teaching soft materials to “know” their own shape and movement, De is helping to build a future where robots are not only soft and safe, but also perceptive and autonomous.
Research Focus
Key Achievements
Top Papers
- 1Soft optoelectronic sensory foams with proprioception206 citations · 2018