Tomohide Ishigami
Papers
2
Total Citations
15
H-Index
2
About
Tomohide Ishigami is a robotics researcher whose work focuses on spatial perception and change detection for autonomous mobile robots. His primary research areas include 3D mapping, spatial change detection, and the application of normal distributions transform (NDT) to robotic perception. Ishigami’s major contribution lies in developing fast, efficient techniques for detecting spatial changes around a robot using on-board RGB-D or stereo cameras. His most-cited paper, "Spatial change detection using voxel classification by normal distributions transform" (2019, 11 citations), proposes a method that classifies voxels to identify differences between a pre-existing 3D map and current sensor data, enabling robots to quickly recognize new objects or environmental changes. This work is critical for applications in search and rescue, security, and surveillance, where rapid and accurate detection of changes can mean the difference between success and failure. Ishigami’s research advances the field of mobile robotics by providing practical solutions for real-time spatial awareness, helping robots operate more effectively in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Spatial change detection using normal distributions transform4 citations · 2019