Papers
4
Total Citations
21
H-Index
3
About
Ippei Samejima is a robotics researcher whose work focuses on developing mobile service robots capable of understanding and interacting with dynamic, human-filled environments. His core contributions lie in advancing environmental mapping beyond simple geometric representations, integrating human activity data to create richer, service-oriented maps. Samejima’s most cited work, “Building Environmental Maps of Human Activity for a Mobile Service Robot at the ‘Miraikan’ Museum” (2014, 10 citations), exemplifies this approach by combining environmental shape with human walking trajectories and sitting/standing positions. This human-aware mapping is crucial for robots that must navigate crowded spaces and provide context-sensitive services. He further refined these techniques by addressing the challenge of dynamic environments, proposing a multi-layered 2D mapping method using selective particle filter updates to handle occlusions caused by moving people and objects. Additionally, Samejima developed a method for observing tabletop objects from a mobile robot using a Kinect sensor, enabling tasks like object search and change detection. His work, though modest in citation count, represents a thoughtful progression toward robots that can coexist and collaborate with humans in real-world settings like museums and homes.
Research Focus
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