Papers
8
Total Citations
759
H-Index
5
About
Sei Ikeda is a pioneering researcher at the intersection of robotics, computer vision, and soft matter engineering. His work spans two seemingly distinct but equally impactful domains: visual simultaneous localization and mapping (vSLAM) and soft robotics. Ikeda’s most influential contribution is the comprehensive survey *“Visual SLAM algorithms: a survey from 2010 to 2016,”* which has garnered over 700 citations and serves as a foundational reference for researchers in autonomous navigation and augmented reality. In soft robotics, Ikeda has made notable advances in tactile sensing and actuation, including the development of a soft capacitive tactile sensor using an air–water interface and fully flexible liquid-to-gas phase change actuators with integrated liquid metal heaters. His work on reconfigurable soft pneumatic actuators using self-healing polymers and soft matter computers based on conductive droplet interval design pushes the boundaries of adaptive, damage-tolerant robotic systems. Ikeda has also contributed to diminished reality research and omnidirectional vision-based landmark databases for AR applications. His interdisciplinary approach—bridging perception, materials science, and control—positions him as a key figure in creating more intelligent, flexible, and resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Visual SLAM algorithms: a survey from 2010 to 2016700 citations · 2017
- 2Soft capacitive tactile sensor using displacement of air–water interface17 citations · 2021
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