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Yamazaki-Bezerra Lab
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A lab for intelligent robots that perceive, move, and manipulate objects in the real world.
AboutAbout the lab
Robots that move in the real world and work alongside people.
The Yamazaki-Bezerra Lab studies robots that perceive, move, and manipulate objects in real-world environments.
Robots are increasingly working in places not originally built for them, such as homes, city streets, and disaster sites.
The lab aims to develop robots that can handle flexible materials such as cloth and cables, objects that are hard to model, uncertainty, and changing environments.
Rather than stopping at demonstrations, the lab places importance on building robot systems that actually work.
Key terms
- Mobile manipulator
- A robot with a robot arm mounted on a moving base, able to handle objects while moving
- Edge AI
- An AI approach in which data processing and decision-making are performed close to the device, such as a sensor or robot
- Imitation learning
- A learning method in which a robot learns a motion by copying demonstrations given by a person
ResearchResearch themes
Under the shared vision of practical robot intelligence, the lab studies robots that can perceive, manipulate, move, collaborate with people, and adapt to changing environments. Its research is organized around four pillars.
*Illustrative imageManipulation and Learning of Deformable Objects
Automating the handling of flexible objects in living spaces, factories, and logistics is not easy. The lab works on modeling, recognition, manipulation, and behavior learning for flexible objects, using a wide range of methods from image processing to deep learning, reinforcement learning, and imitation learning.
*Illustrative imageMobile Manipulators
A robot with an arm mounted on a moving base can both move and handle objects. Because such robots have many degrees of freedom and operate in complex surroundings, the lab pursues multiple studies from the perspectives of vision, motion planning, and behavior learning.
*Illustrative imageMotion Assistance with Autonomous Robots
Robots that help with tasks beside people must not proceed at their own pace, but instead recognize human actions and intentions and adjust their movements accordingly. The lab works on assisting everyday actions, such as dressing assistance and retrieving objects.
*Illustrative imageConnected Robotics and Edge AI
The lab expands its scope from individual robots to networks connecting robots, IoT sensors, and edge AI. It studies methods by which distributed agents share observations to build a world model, reason under uncertainty, and produce explainable behavior.
MembersFaculty
The members of the Yamazaki-Bezerra Lab consist of faculty, doctoral, master's, and undergraduate students, and administrative assistants.As of 2026
- ProfessorKimitoshi Yamazaki
- Assistant ProfessorRanulfo Bezerra
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: “ER-FLEX manipulator” Auledas / CC BY 4.0 (cropped)
- Manipulation and Learning of Deformable Objects: “UR16e robot arm” Auledas / CC BY-SA 4.0 (cropped)
- Mobile Manipulators: “Dobot Magician in Robotics Laboratory 02” Giacomo Alessandroni / CC BY-SA 4.0 (cropped)
- Motion Assistance with Autonomous Robots: “Halodi Robotics' Perception Engineer With a Humanoid Collaborative Robot” Nicholas-halodi / CC BY-SA 4.0 (cropped)
- Connected Robotics and Edge AI: “PDC server room” Esquilo / CC BY-SA 3.0 (cropped)
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