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Robotics and Production Systems Lab
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The lab studies how to teach tasks to industrial robots and how robots manipulate objects.
AboutAbout the lab
Research on intelligent robots and industrial robots.
The Robotics and Production Systems Lab studies the programming of industrial robots and the manipulation of objects by robots.
The lab works on ways to teach robots tasks easily, teaching based on camera images, and caging, which encloses an object so that it cannot escape.
It also works on robots that assemble structures built from toy blocks, a robot that folds origami cranes, and traffic control for dump trucks in mines.
Together with a research team at the National Institute of Advanced Industrial Science and Technology (AIST), the lab also conducts research using digital human models.
Key terms
- Manipulation
- Having a robot work on objects, such as holding or moving them
- SLAM
- A technology that estimates the robot's own position and builds a map of its surroundings at the same time (Simultaneous Localization and Mapping)
- Teaching playback
- A conventional teaching method in which a robot records motions taught by a person and reproduces them exactly
- Caging
- A geometric method of enclosing an object with the robot's body so that it cannot escape, as if it were in a cage
ResearchResearch themes
For an industrial robot to perform a task, a person has to teach its motions in detail. This lab studies ways to make teaching robots easier, as well as object manipulation using camera images and geometric approaches.
*Illustrative imageRobot calibration and environment mapping
The lab applies SLAM to industrial robots, studying a method that builds a 3D map of the surroundings with an RGB-D camera mounted on the robot's hand while simultaneously calibrating the robot's kinematic parameters. It also investigates methods that use spherical cameras and stereo cameras.
*Illustrative imageEasy robot teaching
Teaching a robot is complicated and time-consuming for beginners. The lab studies a method in which a person moves the robot's body through space to show the region where it can move, and a path is then generated automatically from that region. It also studies a system that uses AR to display the movable range and assist the work.
*Illustrative imageTeaching and playback based on camera images
The lab develops teaching playback in which the robot's motions and camera images are recorded while a person demonstrates a task, and the motions are replayed using a mapping from images to motions. It requires no object model or camera calibration, and it can be more robust to changes in working conditions than conventional methods.
*Illustrative imageGrasping objects by caging
Caging does not require force control, so objects can be handled even with a position-controlled robot hand. The lab studies the conditions for three-dimensional caging with multi-fingered hands, and methods that enclose an object and then also use soft parts to grasp it.
MembersFaculty
The members of the Robotics and Production Systems Lab are faculty, master's students, and undergraduate students.As of 2026
- ProfessorYusuke Maeda
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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: “Robotic Claw ROV Gripper” BPLINFO / CC BY-SA 4.0 (cropped)
- Robot calibration and environment mapping: “K10 robot” NASA / Public domain (cropped)
- Easy robot teaching: “Factory Automation Robotics Palettizing Bread” KUKA Roboter GmbH, Bachmann / Public domain (cropped)
- Teaching and playback based on camera images: “Delta x robot - vision module - conveyor” Trungdoanhong / CC BY-SA 4.0 (cropped)
- Grasping objects by caging: “PR2 robot with advanced grasping hands” Oleg Alexandrov / CC BY-SA 3.0 (cropped)
- Related lab (Applied Solid Mechanics Lab): “Friction-Driven Encoder Test (encoder 04-CC)” International Gemini Observatory/NOIRLab/NSF/AURA / CC BY 4.0 (cropped)
- Related lab (Mathematical Modeling Lab): “Finite element sparse matrix” Oleg Alexandrov / Public domain (cropped)
- Related lab (Fluid Production Systems Lab): “Shear Flow Vortices” KarlGaff / CC BY 4.0 (cropped)
- Related lab (Combustion Engineering Lab): “NASA RDE” NASA / Public domain (cropped)
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