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Human-to-Robot Physical Intelligence Lab
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The lab aims to build robots that support people by understanding human movement through computational theories of robot motion.
AboutAbout the lab
Understanding human movement through robot theory
The Human-to-Robot Physical Intelligence Lab analyzes human body movement based on computational theories of robot motion and applies the findings to robot body design and to motion control and learning.
Its goal is to realize robot systems that support people while interacting with them.
Specifically, the lab works on motion control and learning for humanoids, deformation simulation and mechanism design for soft robots, learning and simulation of crowd flow, and human motion analysis.
The lab's English name is Human-to-Robot Physical Intelligence Laboratory.
Key terms
- Humanoids
- Robots with a form close to the human body.
- Soft robotics
- A field that builds robot bodies from flexible materials and deals with robots that deform softly.
- Musculoskeletal system
- The mechanism of bones and muscles that moves the human body.
NewsLab news
Received the 7th Robotics Society of Japan Outstanding Research and Technology Award
Paper published in IEEE RA-L
Human-to-Robot Physical Intelligence Lab established
ResearchResearch themes
The lab analyzes human body movement using computational theories of robot motion, and extends those findings to robot body design and to motion control and learning, aiming to realize robot systems that support people. Research proceeds under four themes: humanoids, soft robots, crowd simulation, and biomechanics.
*Illustrative imageHumanoid Motion Control and Design
The lab studies dynamics computation, motion control, and body structure and mechanism design for humanoid robots. It works on control that regulates body flexibility so a robot can walk without falling even in unknown environments, and on dynamic motion control such as jumping and running.
*Illustrative imageSoft Robot Mechanics and Hands
The lab studies soft robotics, which builds robot bodies from flexible materials. It deals with soft hands that can produce human-scale force at pressures of a few MPa, and with mechanical models for simulating flexible deformation.
*Illustrative imageCrowd Measurement and Simulation
The lab models and simulates the movement of crowds made up of many pedestrians. As technologies important for predicting congestion in urban spaces and for preparing for crowd accidents and emergency evacuations, it works on crowd measurement, AI-based modeling, and the development of a pedestrian-flow VR simulator.
*Illustrative imageBiomechanics for Understanding Human Movement
The lab applies computational theories of humanoid motion to the analysis of human musculoskeletal movement. Using the mechanical computation theory of soft robots, it is developing new models that can handle human movement involving flexibly deforming tools such as sports prostheses.
MembersFaculty
The Human-to-Robot Physical Intelligence Lab consists of faculty members and doctoral and master's students.As of 2026
- ProfessorKo Yamamoto
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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: “REEM-B humanoid robot” Facontidavide at English Wikipedia / Public domain (cropped)
- Humanoid Motion Control and Design: “SURENA III” CAST(Center of Advanced Systems & Technologies) / CC BY-SA 4.0 (cropped)
- Soft Robot Mechanics and Hands: “Inflatable Robotic Arm” Z22 / CC BY-SA 4.0 (cropped)
- Crowd Measurement and Simulation: “Crowd crossing the street, Hungary 2011” Keymeulen / CC0 (cropped)
- Biomechanics for Understanding Human Movement: “Expérimentation sur l'influence des courbures rachidiennes hautes sur la biomécanique du membre supérieur, en lien avec le risque de troubles musculosquelettiques” Sophie Jeannin / CC BY-SA 4.0 (cropped)
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