Toru Kobayashi
Papers
14
Total Citations
113
H-Index
7
About
Toru Kobayashi is a leading researcher at the intersection of social robotics, gerontechnology, and robotic process automation (RPA). His work centers on developing communication robots and AI-driven systems that bridge the digital divide for elderly populations, enabling them to interact seamlessly with modern technology and younger generations. Kobayashi’s major contributions include the creation of Social Media Agency Robots and SNS Agency Robots, which allow elderly users to engage in rich, interactive communication via existing social networking services. He has also pioneered the application of RPA to consumer service systems, such as an SNS-integrated door phone for parcel delivery notifications. Notably, his research extends to healthcare, where he has developed dementia screening and diagnosis systems that leverage natural conversation with robots and digital twin technology to detect early signs of cognitive decline. With top papers garnering 25, 14, and 13 citations, Kobayashi’s work has significant impact, demonstrating how robotics and automation can enhance quality of life, social connectivity, and health monitoring for the elderly. His innovative integration of cloud services, IoT, and AI positions him as a key figure in human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Communication Robot for Elderly Based on Robotic Process Automation25 citations · 2019
- 2Social Media Agency Robot for Elderly People14 citations · 2018
- 3SNS Agency Robot for Elderly People Realizing Rich Media Communication13 citations · 2018
- 4
- 5RPA Constitution Model for Consumer Service System based on IoT9 citations · 2019
- 6Dementia Screening System based on SNS Agency Robot7 citations · 2019
- 7SNS Door Phone as Robotic Process Automation7 citations · 2018
- 8Dementia Diagnosis System Using Social Media Agency Robot6 citations · 2018
- 9SNS Agency Robot for Elderly People Using External Cloud-Based Services5 citations · 2017
- 10Dementia Sign Detection System Using Digital Twin4 citations · 2021