Can Jiang

Keio University

Papers

2

Total Citations

11

H-Index

2

About

Can Jiang is a researcher at the forefront of human-robot interaction and assistive technologies, with a focused expertise in developing simulated environments for elderly care. Her work centers on creating realistic, indoor scenario generators that enable mobile robots to better understand and support the daily lives of older adults. Jiang’s major contributions include the development of SISG4HEI_Alpha, a pioneering simulated indoor scenario generator for houses with elderly individuals, which has garnered 7 citations for its innovative approach to testing robotic assistance in home settings. She also introduced an automatic floorplan generation method for living spaces, designed to simulate the life of an elderly resident supported by a mobile robot, presented at the 36th ISARC in 2019. This work, which has earned 4 citations, demonstrates her ability to bridge architectural design with robotic navigation, allowing for more adaptive and responsive care systems. Jiang’s research is notable for its practical impact on aging-in-place technologies, offering a foundation for future studies in ambient assisted living and human-centered robotics. Her achievements highlight a commitment to improving quality of life through intelligent, simulation-driven design.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
SISG4HEI_Alpha: Alpha version of simulated indoor scenario generator for houses with elderly individuals
7 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Keio University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago