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Yamakawa Lab
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The lab studies robots that see with high-speed vision and move quickly and dexterously.
AboutAbout the lab
Seeing and acting instantly, toward high-speed intelligent systems
The Yamakawa Lab studies high-speed intelligent systems that combine sensors, centered on high-speed vision, with robots to interact quickly with the real world.
Sensors such as cameras are connected through a network to recognize the surrounding world at high speed and without gaps.
The lab aims to reflect that information in robot motion in real time, enabling dynamic interaction with the real world.
Its research covers a wide range of areas, including manipulation of soft objects, human-robot collaboration, applications to automobiles and inspection, and mobile robots.
Key terms
- High-Speed Vision
- A system that captures images much faster than ordinary cameras and processes and recognizes them immediately
- Manipulation
- Operations in which a robot's hand or arm grasps, moves, or deforms an object
- Tracking
- Processing that keeps following a moving object or person in camera images without losing it
NewsLab news
Paper published in MDPI Sensors
Two papers in the Transactions of the Society of Instrument and Control Engineers win the Paper Award and the Hasunuma Award
Presentation at the Annual Conference of the Institute of Image Electronics Engineers of Japan wins a Research Encouragement Award
Paper published in the Journal of the Robotics Society of Japan
Paper published in Scientific Reports
ResearchResearch themes
The lab aims to develop high-speed intelligent systems that connect various sensors, centered on high-speed vision, through a network to recognize the real world at high speed and feed the results back to robots and other systems in real time. Its research and development spans a wide range of areas, including deformable object manipulation, collaboration with humans, and applications to automobiles (ITS) and inspection.
*Illustrative imageDeformable Object Manipulation
Research on using robots to handle soft objects whose shape changes, such as cloth and string. Work includes technology for finding and grasping the corner of hanging cloth, tying knots in string, and manipulating a rhythmic gymnastics ribbon.
*Illustrative imageHuman-Robot Collaboration
Research on humans and robots moving together. Work includes technology that tracks a person's skeletal motion at high speed so that the human and the robot can catch an object together, control for moving without collisions, and remote operation of robot hands.
*Illustrative imageHigh-Speed Sensor Networks
Research on systems that connect high-speed cameras and tactile sensors through a network to recognize the real world at high speed. The lab is developing technology that synchronizes the capture timing of multiple cameras and keeps tracking objects without losing them, even when they are hidden.
*Illustrative imageHigh-Speed Vision and Machine Learning
The lab studies technology that combines fast image processing with more advanced image processing to track multiple objects at high speed. It also works on a learning method that tunes a table tennis robot's serve with only a few trials.
MembersFaculty
The lab's members consist of faculty, project researchers, senior collaborators, collaborative researchers, academic specialists, and doctoral and master's students.As of 2026
- Associate ProfessorYuji YamakawaPublications ↗
- Assistant ProfessorMasahiro HiranoPublications ↗
- Project Assistant ProfessorHyun-oh Kim
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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: “Prototype robot parallèle PAR4” FrancoisPierrot34 / CC BY-SA 4.0 (cropped)
- Deformable Object Manipulation: “Knot-bowline-ABoK 1010-USCG” USCG PTC Developer / CC BY-SA 4.0 (cropped)
- Human-Robot Collaboration: “ExoPhalanx-mounted-on-CyberGlove” Futoshi Kobayashi, George Ikai, Wataru Fukui, Fumio Kojima / CC BY 4.0 (cropped)
- High-Speed Sensor Networks: “USkin Sensor Integration” XELA Robotics / CC BY-SA 4.0 (cropped)
- High-Speed Vision and Machine Learning: “Table Tennis racquet and ball on table - top view” KeepActive Australia from Melbourne, VIC, Australia / CC BY-SA 4.0 (cropped)
- Related lab (新井研究室): “Microfluidic chip for point-of-care medical devices” FMNLab / CC BY 4.0 (cropped)
- Related lab (趙研究室): “Quadrixette” HaSe / CC BY-SA 4.0 (cropped)
- Related lab (鮎澤研究室
（ 特定客員） ): “Biomechanics human model in MOCAP system” El gato Tito / CC BY 4.0 (cropped) - Related lab (中野研究室): “SIMUVEG” Ipareja / Public domain (cropped)
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