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Learning Machines Lab
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Machines learn and act better.
AboutAbout the lab
Machines learning to act better
The Learning Machines Lab studies methods that enable embodied machines to learn through experience and act better.
For machines that move like people or robots, information is meaningful only when it is put to use in action.
The lab conducts research using robot platforms such as humanoids, robot arms, and quadruped robots, together with computers equipped with many GPUs and large-scale parallel simulation.
Key terms
- Reinforcement learning
- A method of learning how to act through repeated trial and error so that the reward obtained when things go well becomes larger
- Many degrees of freedom
- Having many movable parts, such as joints
- Parallel simulation
- Running many computations at the same time to reproduce the movements of many robots on a computer all at once
ResearchResearch themes
The lab explores methods for embodied machines to learn through experience and act better. Its research covers both robots with many degrees of freedom that operate in the real world, and the computation and mathematics that make this possible.
*Illustrative imageRobots with Many Degrees of Freedom Operating in the Real World
The lab aims for bodies with many joints to move skillfully even amid complex real-world contact and unexpected changes in the environment. Research uses a variety of platforms, including humanoid, arm, and legged robots as well as custom-built mechanisms.
*Illustrative imageComputation and Mathematics for Driving Robots
The lab builds mathematical models of the interaction between body and environment, along with the computational infrastructure to learn and optimize them. It advances reinforcement learning using large-scale parallel simulation and high-performance computers to derive control laws that work in reality.
MembersFaculty
The members of the Learning Machines Lab consist of faculty, doctoral students, master's students, and fourth-year undergraduates.
- ProfessorJun Morimoto
- Program-Specific Assistant ProfessorSatoshi Yamamori
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: “3d-printed-humanoid-robot-manav-mumbai-techfest-2015” Jasonprost / CC BY-SA 4.0 (cropped)
- Robots with Many Degrees of Freedom Operating in the Real World: “Controlling robotic arm ESA15746126” European Space Agency / CC BY-SA 3.0 igo (cropped)
- Computation and Mathematics for Driving Robots: “Bioloid dog” Stpedraz / CC BY-SA 4.0 (cropped)
- Related lab (Symbol Emergence Systems Lab): “Robot de serveis Pudu 2022” Marc Auledas-Noguera / CC BY-SA 4.0 (cropped)
- Related lab (Human-Robot Interaction Lab): “Telenoid™ R4 (tele-presence robot for communication) by ATR Hiroshi Ishiguro Laboratory, exhibited at Miraikan ( by Franklin Heijnen)” Franklin Heijnen / CC BY-SA 2.0 (cropped)
- Related lab (Collective Intelligence Systems Lab): “DataAppliedWeb” Marksenizer / CC BY-SA 3.0 (cropped)
- Related lab (Speech Media Lab): “Radio-frequency-anechoic-chamber-HDR-0a” Adamantios / CC BY-SA 3.0 (cropped)
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