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GV Lab (Venture Lab)
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The lab builds robots that understand human movement and can live alongside people.

AboutAbout the lab
Robotics for a sustainable and inclusive society.
GV Lab (Venture Lab) researches robotics for a sustainable and inclusive society.
The lab analyzes human movement based on the forces received from the ground, and works to uncover the mechanisms behind movement, balance, and expressiveness.
It also develops control mechanisms that allow robots to behave flexibly according to their surroundings and their distance from people.
The lab values interdisciplinary research that draws on insights from the social sciences and philosophy to consider the impact of robots on society.
Key terms
- Dynamics identification
- Estimating values such as the mass and inertia of a robot or a human body from measurements of motion and force
- Optimal control
- A method that uses computation to determine how to move a machine so that it best satisfies a given objective
- Inverse optimal control
- A method that works backward from observed motion to determine the objective under which that motion is optimal
NewsLab news
Student receives the Young Investigator Award at Jc-IFToMM
Master's student receives the HAI Horizons Student Award
ResearchResearch themes
The lab researches robotics for a sustainable and inclusive society. Its main themes are the analysis of human motion (human motion science), the control of robots that adapt to their environment and to people, and robots that can be used for a long time and evolve together with their users (slow technology).
*Illustrative imageRobots That Know Their Own Dynamics
This research further advances dynamics identification, the core of the lab's work, so that robots can be aware of the dynamics of their own movement. The work uses both simulation and real robots.
*Illustrative imageExpressive Robot Motion
This research aims to generate expressive robot motion. The lab is developing new control methods that solve optimal control and inverse optimal control using the latent space of machine learning, and is testing them on a variety of robots.
*Illustrative imageRobot Programming for Everyone
So that people who use robots can create the motions they need by themselves, the lab is developing a system in which sensors and robots are connected and can be programmed easily. NEP and RIZE are the key to this system.
*Illustrative imageMeasuring and Understanding Human Movement
The lab measures the dynamics of human movement and develops algorithms to analyze the data, creating methods for understanding movement quantitatively. These methods are used in sports training and healthcare.
MembersFaculty
GV Lab members consist of faculty, visiting researchers, special research fellows from abroad, doctoral, master's, and undergraduate students, special research students, research students, and secretaries.As of 2026
- ProfessorGentiane VenturePublications ↗
- Program-Specific Visiting Associate ProfessorKo Ayusawa
- LecturerVincent HernandezPublications ↗
- Assistant ProfessorEmiko UchiyamaPublications ↗
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: “Robot Arm (NIH BioArt 457)” Courtesy of NIAID Ryan Kissinger / Public domain (cropped)
- Robots That Know Their Own Dynamics: “Foot-ground contact” Tastalian / CC BY-SA 4.0 (cropped)
- Expressive Robot Motion: “Activemarker2” Hipocrite at English Wikipedia / Public domain (cropped)
- Robot Programming for Everyone: “Programm Wiederhole Fahre Drehe” Lehmos / CC BY-SA 4.0 (cropped)
- Measuring and Understanding Human Movement: “Gait laboratory” D. Gordon E. Robertson / CC BY-SA 3.0 (cropped)
- Related lab (新井研究室): “Microfluidic chip for point-of-care medical devices” FMNLab / CC BY 4.0 (cropped)
- Related lab (山川研究室): “Prototype robot parallèle PAR4” FrancoisPierrot34 / CC BY-SA 4.0 (cropped)
- Related lab (趙研究室): “Quadrixette” HaSe / CC BY-SA 4.0 (cropped)
- Related lab (知能化モビリティ研究室): “Zoox Toyota Highlander Test Vehicle - Sensor Closeup - San Francisco, May 2025 07” 9yz / CC BY 4.0 (cropped)
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