Join Us — Tohoku Robotic Systems Laboratory

We welcome undergraduate and graduate students, postdoctoral researchers, visiting scholars, and industry collaborators who are interested in intelligent robotic systems research. The laboratory offers a supportive environment for learning and contributing across multiple areas of robotics.

Whether your background is in mechanical engineering, electrical engineering, computer science, or a related field, there are meaningful ways to contribute. We value curiosity, willingness to learn, and collaborative effort — you do not need to be an expert in every area to get started.

If you are interested, please reach out to the laboratory faculty to discuss possible research topics and opportunities.

How to contact us

Yamazaki–Bezerra Laboratory is looking for colleagues who aim to bring new developments to intelligent robotics and contribute to academia and society. We welcome graduate-school applicants, including students from other universities and technical colleges.

Prospective students are encouraged to contact the laboratory by email before applying. When you write, please:

begin the subject line with “[Applicant]”;
attach your CV and an academic transcript (or equivalent course documentation);
include in your CV your full name, current affiliation/position, current address, and educational/professional background.

See the Contact page for the laboratory’s location.

Contribution Paths

Research topics include work across many areas. Here are some of the ways students and collaborators contribute to the laboratory:

Robot Hardware Experiments

Design, build, and test robotic mechanisms and sensor systems.

Perception and AI

Develop vision, recognition, and learning systems for robots.

Manipulation

Work on grasping, dexterous manipulation, and handling of diverse objects.

Mobile Robotics

Build autonomous navigation and locomotion for indoor and outdoor robots.

Simulation

Create and use simulation environments for robot development and testing.

IoT Sensing

Integrate IoT sensors with robotic systems for distributed environmental awareness.

Edge AI

Deploy AI models on edge devices for real-time robot decision-making.

Software Systems

Develop robust software architectures, middleware, and tools for robotic platforms.

Human-Machine Interaction

Study how humans and robots communicate, cooperate, and share tasks.