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Intelligent Robotics and Perceptual Information Processing (Nakashima) Lab
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The lab studies state estimation and sensor information processing for robots.
AboutAbout the lab
Exploring human motor intelligence through robots
Associate Professor Kazuto Nakashima studies intelligent robotics and perceptual information processing at the Human-Centered Robotics Lab in the Division of Mechanical Engineering.
Using robotics technology grounded in mechanical engineering, the lab studies the advanced motor intelligence of the human body from mathematical and mechanical perspectives, and applies it to engineering.
The lab's website covers the whole lab, including Professor Kenji Tahara and Associate Professor Hikaru Arita.
A lab introduction video is also available for undergraduate students who are about to choose a lab.
Key terms
- 3D LiDAR
- A sensor that measures the distance to surrounding objects with laser light and captures their shapes as a three-dimensional set of points
- Domain adaptation
- A technique for adjusting a method so that it also works on data collected under conditions different from those used in training
- Proximity sensor
- A sensor that measures how close an object is. In this lab, it is mounted on the fingers and used as a cue for knowing the state of the fingers
NewsLab news
A paper by a graduate was published in Advanced Robotics
A paper by a master's student was published in Journal of Robotics and Mechatronics
A paper by a doctoral student was published in Journal of Robotics and Mechatronics
ResearchResearch themes
The Human-Centered Robotics Lab uses robotics technology grounded in mechanical engineering to study the mathematical and mechanical understanding of the advanced motor intelligence of the human body, and its engineering applications. Associate Professor Kazuto Nakashima uses deep learning to study state estimation for soft robots, as well as missing-data restoration and domain adaptation for 3D range sensors.
*Illustrative imageState estimation for soft robots
This research estimates the state of the fingers of a multi-fingered robot hand with a flexible shape. The lab proposes a method that combines proximity sensors mounted on the fingers with a model of how the fingers bend, using the opposing fingers and the palm as cues for estimation.
*Illustrative imageData restoration for 3D range sensors
Using deep learning, the lab studies restoring missing data in measurements from 3D range sensors (3D LiDAR), as well as domain adaptation.
MembersFaculty
The Human-Centered Robotics Lab consists of faculty members, doctoral, master's, and undergraduate students, and secretaries.As of 2026
- ProfessorKenji Tahara
- Associate ProfessorHikaru Arita
- Associate ProfessorKazuto Nakashima
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “LIDAR equipped robot” S. Winkvist / Public domain (cropped)
- State estimation for soft robots: “Soft Robots and Bionic Arms ( )” Steve Jurvetson from Los Altos, USA / CC BY 2.0 (cropped)
- Data restoration for 3D range sensors: “California LiDAR Diablo Canyon Road” Rebecca equator / CC BY-SA 4.0 (cropped)
- Related lab (量子コンピューティングシステム研究センター): “IBM Quantum Computer Demo at ITUWTSA 2024, Delhi 2” Dev Jadiya / CC BY-SA 4.0 (cropped)
- Related lab (光・量子プロセス研究開発センター): “Excimer-Laser-MEL80” Philos2000 / CC BY-SA 3.0 (cropped)
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