This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

AY2025 Admission Guide
Department of Mechano-Informatics
Graduate School of Information Science and Technology
The University of Tokyo
Master ’s Program
Doctoral Program

Contact [Department Administration Office]Engineering Bldg. 2, 3rd Floor, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, JAPANDepartment Team (Mechano-Informatics), Graduate School of Engineering / Information
Science and Technology Academic Affairs Division, The University of Tokyo.
TEL: 03-5841-6302 E-mail: kyoumu@office.mech.t.u-tokyo.ac.jp

Under “Prospective Students” on
https://www.i.u-tokyo.ac.jp/index_e.shtml
click on “Admissions” →“Departments and Faculty”→“Mechano-Informatics” → “Admissions”
In addition to this brochure, be sure to refer to “Admission Guide: Graduate School ofInformation Science and Technology, The University of Tokyo.”1

This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

(I) Master’s Program
Applicants should refer to the “AY2025 Admission Guide: Master's Program, Graduate School of(1)

Information Science and Technology, The University of Tokyo”.
(2)

Preference Card and supervising professor
In the “Preference Card (for Master’s Program)”, indicate your preferences for the field of interest andresearch plan, etc., and submit the card together with your other application documents. Check “Facultyand Labs in Department of Mechano-informatics” at the end of this booklet and enter your first to 10th
choices of supervising professors in the field “Your selection of Lab” of the Web application system. If
the professor of your choice cannot be assigned, any other professor available may be assigned.

(3)

Expertise Assessment Card
Submit two-pages document to assess your expertise regarding research activities, creative activities ina university lecture or practicum, and extracurricular activities.

(4)

Examination Schedulesa.

Document screening
Document screening will be conducted based on the submitted documents. Regarding the notificationof the screening, refer to the “AY2025 Admission Guide: Master's Program, Graduate School ofInformation Science and Technology, The University of Tokyo”.

b.

General education subjects
Mathematics examination is conducted. Refer to the “AY2025 Admission Guide: Master's Program,
Graduate School of Information Science and Technology, The University of Tokyo” for detail.

c.

Foreign language (English)
TOEFL scores will be used to evaluate the applicants’ English skills. For details, refer to “Guidelines
for Submission of TOEFL Scores (for AY2025 Entrance Examinations).”d.

Specialized subjects and oral examination
The examination will be conducted only for applicants who have passed the document screening, taken
the general education subject (mathematics) examination, and whose TOEFL score submitted has been
considered valid. The oral examination will be held online.

2This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

Examination
dateAugust 19(Monday),2024 –
August 23(Friday),
2024

(5)

Examination Examination
Examination content
times
subjects
English presentation of expertise, fieldof study and research plan (7 minutes)
and oral examination. Topics related to
Betweenmechanics-related fields (mechanical
Mechano9:00 a.m.
dynamics, control, mechatronics,
Informatics robotics, etc.) and information-related
and6:00 p.m.
fields (fundamentals of information
science, digital circuits, computers,
software, etc.) might be asked during
examination.

Notes:The URL of
onlineexamination
will beannounced byAugust 16(Friday), 2024.

Notes
a.

Applicant must prepare a Windows PC or Mac with an external web camera and connect to the Zoom
for the online oral examination.

b.

Applicant must prepare slides for the presentation in advance and share the screen during the oral
examination.

c.

For other notes, carefully read the “Notes for Specialized subjects and oral examination” section ofthis guide.

Please be sure to check the department webpage, where more detailed information may be posted whenevernecessary.

3This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

(II) Doctoral Program(1) Applicants should refer to the “AY2025 Admission Guide: Doctoral Program, Graduate School ofInformation Science and Technology, The University of Tokyo”, and must receive guidance from theirprospective thesis advisor before submitting their applications.
(2) Preference Card and prospective supervisor
After consulting with your prospective supervisor, indicate your preferences for the field of interest andresearch plan, etc., on the “Preference Card (Doctoral Program)”, and submit the card together with yourother application documents. Enter the name of your prospective supervisor in the filed of “Supervisingprofessor of your choice” of the Web application system.
(3) Application Period
Note that different application periods are scheduled for Summer and Winter Examinations. For details on
the application periods, refer to the “AY2025 Admission Guide: Doctoral Program, Graduate School ofInformation Science and Technology, The University of Tokyo”.
(4) Examination Schedules
a. Summer Examinations
1) Primary Examinations
The oral examination will be held online.
Examination
dateAugust 19(Monday),2024 –
August 23(Friday),
2024

Examination Examination
Examination content
times
subjects
Mechano-Informatics (Oral Examination)
Between
9:00 a.m.
and
6:00 p.m.

MechanoInformatics

Topics related to mechanics-related fields(mechanical dynamics, control,mechatronics, robotics, etc.) andinformation-related fields (fundamentals
of information science, digital circuits,
computers, software, etc.) might be asked
during examination.

Notes:The URL of
onlineexamination
will beannounced byAugust 16(Friday), 2024.

Notes:a) Oral Examinations will focus on the content and progress of the applicant's Master’s thesis or anequivalent research project, as well as concepts and plans for the prospective doctoral research
theme, and related knowledge in the Mechano-Informatics field. Applicants must prepare slides forthe presentation in advance and share the screen during the oral examination, and will be required
to answer questions.
b) Oral Examinations for applicants who are expected to complete a Master’s or Professional degree
program by September 30, 2024 will simultaneously serve as the secondary examinations. Refer to“Notes” on Secondary Examinations below.
As an examination of foreign language skills, English proficiency will be evaluated based on submitted TOEFL
4

This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

scores. For details of how to submit TOEFL scores, refer to the “AY2025 Admission Guide: Doctoral Program,
Graduate School of Information Science and Technology, The University of Tokyo”.
Applicants who have completed (or are expected to complete) a Master's program at the University of Tokyo
are not required to submit TOEFL scores.
Supplementary information may be provided on the following web page. Be sure to check:
https://www.i.u-tokyo.ac.jp/edu/course/m-i/admission_e.shtml
2) Secondary Examinations
The secondary examination is conducted by oral examination. The secondary examinations will be
conducted for those who pass the primary examinations, on the completed Master’s theses or
equivalent research projects.
Notes:a) The secondary examinations will be scheduled between late January and early February of 2025;
applicants will be notified of the details later. For applicants who wish to enter the graduate schoolin October 2024, and those who wish to enter in April 2025 but have completed or are expected
to complete a Master's or Professional degree program by September 30, 2024, the secondary
examinations will be conducted during the period of the primary examinations.
b) Applicant must submit a copy of one’s Master's thesis or an equivalent document and slides forthe presentation according to a later notice. Share the slides on the screen during the oral
examination to make a presentation on the content of research within a specified time limit, andanswer questions.
b. Winter Examinations
Primary Examinations and Secondary Examinations will be held between late January and early February,
2025 to accept a few applicants.
Details on examination methods, schedules, and locations will be posted on the following web page in
October:
https://www.i.u-tokyo.ac.jp/edu/course/m-i/admission_e.shtml(5) Applicants for the Special Selection for Professionals（社会人特別選抜） must contact the Department
Administration Office before submitting their applications. These applicants must include in the“Application Documents” specified in “AY2025 Admission Guide: Doctoral Program [Special Selection forProfessionals], Graduate School of Information Science and Technology, The University of Tokyo” thefollowing seven types of materials describing their research and achievements in the field of mechanoinformatics. Applicants might be exempted from the written examination by the contents of “Application
Documents”. No specific form is provided.
i. The list of research achievements (written in Japanese or English)
Provide a list of academic papers, patents, products, and other evidences of the applicant's
achievements accomplished as a part of her/his profession. In the case of collaborative achievements
5This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

with several persons, clearly indicate the applicant's contributions.
ii. The abstract of those major achievements (written in Japanese or English)
Select up to three major achievements from the list above, and provide the outlines of theseachievements in approximately five A4-sized pages.
iii. The research plan for the doctoral program (written in Japanese or English) in approximately two A4sized pages.
iv. Recommendation letters from two persons who are familiar with the applicant’s research achievementsof the applicant (including Master's supervisor) (written in Japanese or English).
*Refer to the admission webpage of the Graduate School for submission instructions and submit it
separately.
v. A copy of a Master’s thesis or an equivalent research report.
vi. The abstract of v. (written in Japanese or English)vii. The originals of any other documents which are useful to evaluate the applicant’s ability (e.g. copies
of published papers, patent specifications or brochures of products by the applicant).
(6) Notes
a. Applicant must prepare a Windows PC or Mac with an external web camera and connect to the Zoom forthe online oral examination.
b. Applicant must prepare slides for the presentation in advance and share the screen during the oral
examination.
c. For other notes, carefully read the “Notes for Specialized subjects and oral examination” section of thisguide.
Please be sure to check the department webpage, where more detailed information may be posted whenevernecessary.

6This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

AY2024 Notes for Specialized subjects and oral examination of
Department of Mechano-Informatics (Master’s and Doctoral Programs)
Graduate School of Information Science and Technology, The University of Tokyo
1． Examination dates and times
Please refer to the “Examination schedules” listed in this Guide.
2． Examination locations
The oral examination will be held online.
The URL for the online system that should be accessed by each person will be notified later.
3． What to prepare(1) Examination admission card. (Print it out.)(2) Prepare a Windows or Mac with camera for the online oral examination.
(3) Prepare slides (ex. PowerPoint) for the presentation in advance and share the screen during the oral
examination.
(4) Prepare an internet line of sufficient quality. Prepare an environment where no people around and stillness
is maintained.
(5) Prepare notebooks of A4 size or larger, sketchbooks or a whiteboard, which is required to show the answer
in front of the camera and read it remotely, and a thick pen that can be viewed remotely.
(6) Follow the instructions of the Graduate School for the ‘what to bring’ for the general education subject(Mathematics).
4． Items to keep in mind during examinations(1) Online examination is always being recorded.
(2) Examinees will not be allowed to leave the examination room until the end of the scheduled examination
time. Temporary leaves during the examination are also prohibited in principle. If you start to feel sick
and/or need to use the bathroom, notify the examination supervisor.
(3) Be alone in a closed room during the online examination. Do not use headphones or earphones.
(4) Turn on the camera during the online examination and do not use the virtual background.
(5) Presentation tools and paper scripts during the presentation are acceptable, but do not refer to it in aquestion and answer session.
(6) Reference text books and the Internet etc. are not allowed without permission.
(7) The presentation time is managed in the examination room. However, a clock without any of the following
functions can be used: dictionary function, calculator function, or Internet/PC connection function.
(8) Print out examination admission card beforehand and place on top of your desk during the examination.
(9) Only the following items can be placed on the desk: examination admission card, PC, Web camera,
monitor, keyboard, mouse, A4 or above notes, sketchbooks or a whiteboard, and a thick pen.
(10) If there is a bookshelf in front of or beside the desk, cover it with a curtain or sheet.
(11) Before and during the test, you will need to move the camera to show the proctor your desk and the entire
room where you will be taking the test (360degrees). Any privacy concerns should be dealt with in advance.
(12) Do not record the test details. Also, do not tell anything about the test.
(13) In the unlikely event that misconduct is discovered, the test will be invalidated retroactively.
(14) After the oral examination, leave the online examination room according to the instructions from theexaminer.
Follow the instructions and location information of the Graduate School for the written examination for thegeneral education subject (Mathematics).
7

This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

[Preference card (for Master’s Program and Doctoral Program)]
Department of Mechano-Informatics, Graduate School of Information Science and Technology,
The University of Tokyo
Examinee’s
nameField of interest
and researchplan(Please describe inas much detail as
possible) Submit this form along with your application.
 Use a computer to prepare this card.
 Do not extend to the next page. The font size should be 12pt or larger.
 For doctoral program applicants, note that different application periods are scheduled for the Summer and WinterExaminations. Application documents received outside of the respective application periods shall be deemed invalid.
8This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

[Expertise Assessment Card (for Master’s Program)]
Department of Mechano-Informatics,
Graduate School of Information Science and Technology, The University of Tokyo
Examinee’s name : Write down the examinee’s name.
 Use this two A4 pages to write your expertise. No additional pages are allowed.
 Use a computer to prepare this card.
 The font size should be more than 12 pt. Images and diagrams can also be used.

9This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

10

This document is a translation from the official Japanese version.
In the case of conflict, the Japanese version shall prevail and conclusive.

Department-specific Conditions on Submitted Documents (Mechano-Informatics)
For other conditions on submitted documents common to all the departments, check the Admission Guide of
the Graduate School.
List of Department-specific Documents

Department-specific Conditions on TOEFL Scores

11Faculty and Laboratories of Department of Mechano-Informatics※: Professors denoted by this symbol do not accept new graduate students for the applicable academic year.
[RCAST]
denotes the professors of Research Center for Advanced Science and Technology holding adjunct professorship at School ofInformation Science and Technology.
[AI center]denotes the professors of AI Center (*1) holding adjunct professorship at School of Information Science and Technology.
*1 Next Generation Artificial Intelligence Research Division, Center for Education and Research in Information Science andTechnology (CERIST), and Next Generation Artificial Intelligence Research Center, The University of Tokyo.
[SICT Center]denotes the professors of SICT Center (*2) holding adjunct professorship at School of Information Science and Technology.
*2 Social ICT Research Center and Center for Creation of Intelligent World, The University of Tokyo.

Professor
Kei OKADAJSK Robotics Laboratory(Jouhou System Kougaku Laboratory)
URL: http://www.jsk.t.u-tokyo.ac.jp/
Research in this laboratory is focusing on the fundamental functions and systems
necessary for future intelligent robots that will live and work in the daily life field
and human society. The members are challenging something new through their own
integrated robot systems and learning how to build sustainable systems for the futurewith each other.

Faculty of Eng. Bldg. 2,
Room 73A2
e-mail:k-okada@jsk.t.u-tokyo.ac.jp

Lecturer
Kunio KOJIMA

Faculty of Eng. Bldg. 8,
Room 330
e-mail:k-kojima@jsk.imi.i.utokyo.ac.jp(1) Daily life support humanoid platform : recognition of situations in human life
environments, using tools, dishes, tablewares, and appliances, learning fromhumans, conversation with humans, etc.
(2) Musculoskeletal tendon-driven humanoid : humanlike musculoskeletal bodywith very many joints and numerous redundant sensors aiming at powerful andsupple motions like human, design principle of humanoid body structure,autonomous development of complex sensory-motor system, etc.
(3) Dynamics whole body control humanoid : integrating high-torque, high-speed
motor drive circuit, high-speed 3D recognition system, dynamics whole-body.
(4) Transform robotics devices: embedded CPU for transform robots, integrated
intelligent, IMU sensors, onbody communication LAN system, power system. etc.
(5) IRT (Information and Robot Technology) to support human and aging
society: through fusing IT and RT systems, personal mobility robots, affectionate
watching appliance are conducted for supporting the future life society(6) Robot Open Software System : design and development of open-source type
intelligent robot for mobile manipulation robot.

Daily Assisteive HRP2-JSK humanoids

Musculoskeletal humanoids

FlyingTransform
Robots
IRT Robots
Robot-social interaction

Dynamic whole-body control humanoidOpen software robot : PR2

Yasuo KUNIYOSHI
Professor

Laboratory for Intelligent Systems and Informatics (ISI)
http://www.isi.imi.i.u-tokyo.ac.jp/
Breakthroughs Towards Truly Intelligent Systems in the Real World:
Towards truly intelligent behavior in the complex and uncertain realworld, we reveal the principles of human intelligence and develop next
generation AI, with applications to real world tasks.
1. Next Generation AI & Robotics Intelligence
Deep reinforcement imitation learning, multi-agent collaborative learning,

Office:Room 82D3, Engr. Bldg. 2
e-mail:kuniyosh@isi.imi.i.u-tokyo.ac.jp

Kohei NAKAJIMA
Associate Professor

dynamical systems/chaos/reservoir computing, spiking neural networks,
free energy principle/predictive coding, dual-arm robotic manipulation,
behvior emergence/immediate adaptation, autonomus systems, intention
understanding, AI ethics
2. Elucidating/Modeling Human Intelligence, Origin of Intelligence
Whole brain simulation, Embodied cognition/behavior, Emotion/Feeling
Model,

Fetus/neonate

embodiedbrain

development

simulation,

Acquisition of concepts/language, Self-other/social cognition, Emergenceof consciousness, Brain science and modeling of moral/value/intention/
motivation/creativity/aesthetic/music
3. Bio-inspired Robots & Adaptive/Learning Control
Office:Room 82D4, Engr. Bldg. 2
e-mail: k-nakajima@isi.imi.i.utokyo.ac.jp

Tatsuya DAIKOKUAssociate Professor[AI Center]

Musculo-skeletal robots, Soft robots, Dynamic motor skills, “Knacks &Focuses”, Thin&flexible tactile sensors, Adaptive/learning control,
Physical reservoir computing, Next gen. neuromorphic devices
4. AI Tech for Medical/Welfare/Handicapped & Global Issues
Monitoring & risk prediction of behavior/health, Clinical applications,Interactive elderly care robots, Understanding developmental disorders
and alleviative technology for their sufferings, Agile-legal tech.

Brain sim.
Fetus embodied development simulation

Office:Room 335-1, Engr. Bldg. 8
e-mail: daikoku@isi.imi.i.utokyo.ac.jp

Embodied EmotionCognition ModelHigh dim. chaos autonomous
learning & control

Octopus robot

Musculo-skeletal Baby Robot
Deep learning of human skills
robotProfessor
Hideaki KUZUOKA

Kuzuoka-Narumi Laboratory
http://www.cyber.t.u-tokyo.ac.jp

Research on Cybernetic Interface aims to study interfaces that unite human andcomputer seamlessly. Our particular interest is in exploring Cybernetic Interface on
the basis of Virtual Reality (VR) and Computer Supported Cooperative Work(CSCW) technologies. We focus not only on system development, but also on
exploring innovative contents in application areas, and studying the impact ofhuman-computer interaction on psychological and social science research.
Specifically, we are conducting research on multi-modal/cross-modal interfaces
including tactile, olfactory, and gustatory senses, human augmentation technologies
to enhance human physical and cognitive abilities, social robots, and educational
systems using virtual and augmented reality.

Eng. Bldg. 2 Rm. 83D4
e-mail: kuzuoka@cyber.t.
u-tokyo.ac.jp
URL: http://www.cyber.
t.u-tokyo.ac.jp/

Virtual Reality / Mixed Reality

Multi-modal and Cross-modal Interfaces
Redirected Walking / Redirected Hand Interaction Techniques
Human Augmentation with Virtual and Augmented Reality
Ghost Engineering (Augmenting Perception/Cognition with Embodied Avatars)

Multi-modal / Cross-modal interfaces

Haptic display and Human Augmentation

Redirected walking using visuo-haptic interaction

Manipulation of weight perception throughbody transformation with avatars

Associate Professor
Takuji NARUMI

Computer Supported Cooperative Work (CSCW) / Human-Computer Interaction
Telepresence Systems for Enhancing Remote Communication
Behavior Elicitation & Emotion Evacuation Interfaces
Virtual Reality-Based Education, Rehabilitation, Consultation
Social Robot, Human-Robot Interaction, and social media
Electrical Stimulation for Presenting Sensations

Eng. Bldg. 2 Rm. 83D3
e-mail: narumi@cyber.t.
u-tokyo.ac.jp
URL: http://www.cyber.
t.u-tokyo.ac.jp/“Cloning” technique for mediated group work

Presenting spiciness through electricalstimulation

Social robots in museum

Co-embodiment for skill transfer

Dynamics and Control Systems Laboratory
http://www.ynl.t.u-tokyo.ac.jp/(1) Highly Robust Autonomous Driving Systems of Cars and Trucks(2) AI-based Autonomous Harvest/Transport Systems for Vegetables and Fruits(3) Dynamics & Control Theory of Humanoid, Human Musculo-skeleton, Human
Flow & Soft Robot(4) Development of Hydraulic Actuators & Hydraulically-driven Soft Robotics(5) Advanced Optical Sensing and Image Understanding
Takanori Fukao
Professor

Cooperative Automated Driving

Vegetable Harvesting Robot

Office:82D2 Eng2 Bldg.
phone: 03-5841-6379
e-mail: fukao@i.u-tokyo.
ac.jp
Automated Driving on Agricultural Road

Fruit Harvesting Robot

Vegetable Handling Robot

Ko Yamamoto
Associate professor
Office:82D1 Eng2 Bldg.
phone: 03-5841-6378
e-mail:yamamoto.ko@ynl.t.utokyo.ac. jp

Yinqiang Zheng
Professor[AI Center]
Office:81A2 Eng2 Bldg.
phone: 03-5841-1509
e-mail: yqzheng@ai.utokyo.ac.jp

Tatsuya HARADA
Professor

Machine Intelligence

Realizing advanced intelligent systems forunderstanding real world, generating content, and discovering knowledge
We aim to construct advanced intelligent systems capable of understanding the realworld, generating content, and discovering knowledge by extracting valuable
information from the natural environment and combining it with vast amounts ofdata and powerful computing resources in cyberspace. To tackle this challenge, we
utilize computer science, including mathematical foundations and robotics.
1. Mathematical foundations: Information theory, machine learning, deeplearning, data mining, pattern recognition, probability and statistics theory,
time series analysis, causal analysis, learning theory, feature extraction theory.
2. Recognition, understanding, and thinking: Computer vision, image
recognition and search, 3D information processing, behavior recognition,
multimodal recognition, emotion understanding, intention estimation, natural
RCAST 4th bldg.
language processing, speech and music information processing, medicalroom 427
information processing, big datae-mail:3.
Content generation: Natural language description of images and videos,harada@mi.t.u-tokyo.ac.jp
image generation from natural language, conversational systems capable ofchatting with humans, discovery of interesting phenomena in the real world
Takayuki OSA
and article generation
Associate Professor 4. Intelligent robots: Reinforcement learning, imitation learning,meta-learning, trajectory optimization, motion planning, task planning,[SICT Center]
continual learning, sim-to-real, fast inference, SLAM, 3D reconstruction,
learning at the edge, interaction with humans[RCAST]

RCAST CCR bldg.
room B313

Feature extraction using
information theory and machine learning

Integration of CV, CG and ML

e-mail:osa@mi.t.u-tokyo.ac.jp

Yusuke MUKUTA
Lecturer[RCAST]

A silver car
parked in a
residential street.

A brown horse
standing in a lush
green field.

Automatic sentence generation by recognizing images

Generation of realistic novel
object images

Trajectory optimization to find diverse solutions

Non-Euclidean neural network

RCAST 4th bldg.
room 426

e-mail:mukuta@mi.t.u-tokyo.ac.jp

Shoji TAKEUCHI
Professor

Biohybrid Systems Lab.
http://www.hybrid.t.u-tokyo.ac.jp/
Our research group aim to develop biohybrid systems that integrate
functional biomaterials with artificial devices, such as biohybrid robots
powered by skeletal muscle tissues that works flexibly and quietly, covered byliving skin tissue with human-like appearance and function, and enabled by
sensor cells that can detect target materials with high sensitivity and selectivity.
Our approach involves various disciplines, including mechanics, informatics,
micro/nano technology, bioengineering, and material sciences. Personnel
interested in multidisciplinary research, with any of these abovementioned
backgrounds, are warmly welcomed to join us.

Eng. Bldg. 2, Rm. 83D1
e-mail:takeuchi@hybrid.t.u-tokyo.ac.jp

URL:
http://www.hybrid.t.u-tokyo.ac.jp/

Minghao NIE
LecturerEng. Bldg. 2, Rm. 83D2
e-mail:nie@hybrid.t.u-tokyo.ac.jp

Hirokazu Takahashi
Professor

Bio-intelligence Systems Lab.
http://www.ne.t.u-tokyo.ac.jp/index-e.html
Research Fields：The Bio-Intelligence Systems Lab aims to understand the brain inengineers’ manner and to create next-generation brain-like computation systems. Our
research field is interdisciplinary, ranging between informatics, engineering, andneuroscience. To reveal how intelligence, consciousness, and fine arts emerge, weinvestigate neural computation at various scales, ranging from dissociate culture ofneurons on a petri dish, the rodent brain, and the human brain. We develop novel
experimental methods and equipment, such as high-density microelectrode arrays
and behavioral assays, to obtain large-scale experimental data, and make full use ofstate-of-the-art machine learning and artificial intelligence to characterize andanalyze our own data. Based on these experiments, we reveal the dynamics of neuralactivities and construct mathematical models of the brain.
Research Examples:Eng. Bldg. 2, Rm. 81B
e-mail:takahashi@i.u-tokyo.ac.jp

Tomoyo I.
Shiramatsu
Associate Professor

Eng. Bldg. 2, Rm. 81B
e-mail:t.shiramatsu@ne.t.u-tokyo.
ac.jp

2

Well-being Engineering Lab.
http://www.atl.k.u-tokyo.ac.jp

Misato Nihei
Professor
Office:83D1 Eng2 Bldg.
phone: 03-5841-6401
e-mail: mnihei@g.ecc.utokyo.ac.jp

Our laboratory examines the evolving facets of everyday human life in tandem withsocietal shifts, focusing on the perspective of well-being. Our approach involves
synthesizing knowledge across various disciplines related to daily life and delving into the
optimal state of human existence. This exploration extends to the development of novelassistive technologies and mechanical systems that support such a state.
Our research encompasses the realms of intelligent assistive technology and robot
development, covering analysis, implementation, empirical evaluation, and the social
integration of innovative mobility concepts. Rooted in a comprehensive understanding of
human behavior, movement, cognition, physiology, and psychological characteristics, ourinvestigations transcend the confines of university laboratories. We actively engage in fieldbased research and social experiments, including action research. Our overarching goal is
to foster the development of systems that seamlessly connect human life, machinery, andinformation, translating these connections into practical applications for societal benefit.
Our research initiatives include(1) Advancing real-life environmental measurement and behavior estimation technologies
to support self-management and facilitate behavioral changes.
(2) Designing personal mobility vehicle (PMV) systems geared towards healthmaintenance, mobility extension, and improvement in quality of life (QOL).
(3) Pioneering digital healthcare systems and affective computing based on social assistive
robots (SAR) and robot interactions.
(4) Creating accessible design robots to promote social inclusion.
(5) Undertaking the development, clinical research, and effectiveness evaluation ofassistive products and rehabilitation systems.
Motion analysis

Mobility Service・Mobility Design

Driving・Human Factors

Information ＆ Communication Technology

Living Lab.

Cooperative Learning System・HMI

Multibody Model Simulation

WorkshopAffective Computing

We are currently engaged in intelligent assistive technologies, robotics,
mobility development, analysis, implementation, empirical evaluation,social implementation, action research, and interdisciplinary research.
Through these studies, we aim to develop systems that link human life,
machine informatics, and practical applications for social benefits.

Assistive Tech.

Socially Assistive Robotics

Real Life Sensing

Rehabilitation・Healthcare・Biometric tech.