Shigeru Takano
Papers
9
Total Citations
49
H-Index
5
About
Shigeru Takano is a robotics researcher whose work focuses on the development of low-cost, autonomous mobile robots for human monitoring and swarm intelligence. His major contributions lie in creating accessible robotic systems that can detect and analyze human movement to identify fall risks, a critical area for elderly care and smart environments. Takano pioneered the use of multi-robot monitoring systems, where teams of affordable robots equipped with Kinect sensors collaboratively track human skeletons and cluster data to discover fall risk patterns. His innovative work on lifting complex wavelet transforms for fast object detection on onboard robot vision has advanced real-time visual processing in resource-constrained platforms. With several papers garnering 6-9 citations each, Takano’s research on skeleton clustering and multi-view monitoring has laid groundwork for practical, service-oriented robotic assistance. Notably, his 2010 study on constructing low-cost swarm robots that march in column formation demonstrates an early commitment to scalable, cooperative robot design. Through these efforts, Takano has contributed to making autonomous monitoring systems more feasible for real-world applications, bridging the gap between theoretical robotics and affordable, deployable solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Skeleton clustering by multi-robot monitoring for fall risk discovery9 citations · 2015
- 3Constructing Low-Cost Swarm Robots That March in Column Formation7 citations · 2010
- 4Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery6 citations · 2014
- 5
- 6Multiple-robot monitoring system based on a service-oriented DBMS5 citations · 2014
- 7
- 8Human detection by a small autonomous mobile robot2 citations · 2012
- 9