Brief Bio

I am an Assitant Professor in the Tough Cyberphysical AI Research Center, and currently a faculty member of Human-Robot Informatics Laboratory (TADOLab) at Tohoku University in Sendai, Japan. I received my Ph.D. degree in Information Sciences from Tohoku University, Japan in 2021. I received my M.Sc. and B.Sc. in computer science from the Federal University of Piaui, Brazil in 2018, and 2016 respectively. My research interests are robot intelligence and robotic perception. A member of RSJ and IEEE.

Interests
  • Intelligent Robotic Systems
  • Internet of Robotic Things
  • Multi-robot Systems
  • Robotic Perception
  • Knowledge Acquisition
Education

  • PhD in Information Sciences, 2021

    Tohoku University

  • Msc in Computer Science, 2018

    Federal University of Piaui

  • BSc in Computer Science, 2016

    Federal University of Piaui

Recent News

Dr. Ranulfo Bezerra Invited to Join the Editorial Board of IEEE IoT Journal

2023-10-02

Two Research Contributions Accepted at Upcoming 21st International Conference on Advanced Robotics (ICAR)

2023-10-02

Two Research Contributions Accepted at Upcoming IEEE Systems, Man, and Cybernetics (SMC) Conference

2023-05-27

Three Research Contributions Accepted at Upcoming IEEE International Conference on Automation Science and Engineering (CASE)

2023-05-25

Projects

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All Projects Current Previous
Automation for Transformable Production

Automation for Transformable Production

Multi-robot Task Allocation and Control System on Transformable Production

Disaster Prevention Challenge on World Robot Summit

Disaster Prevention Challenge on World Robot Summit

Discover how a multi-modal robot team excelled in the Disaster Prevention Challenge at the World Robot Summit 2020, enhancing industrial plant inspections.

Knowledge Acquisition from Sparse Mobile Probe Data

Knowledge Acquisition from Sparse Mobile Probe Data

This study provides different techniques to improve the perception for autonomous vehicles by knowledge acquisition.

Optimizing Construction Vehicle Interaction with Machine Learning

Optimizing Construction Vehicle Interaction with Machine Learning

Leveraging Machine Learning for Optimized Interaction Between Autonomous Dump Trucks and Human-Operated Backhoes in Earthmoving Work.

Recent Publications

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Ranulfo Bezerra, Kazunori Ohno, Shotaro Kojima, Hanif A. Aryadi, Kenta Gunji, Masao Kuwahara, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro (2023). Heterogeneous Multi-Robot Task Allocation for Garment Transformable Production using Deep Reinforcement Learning. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).

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Kenta Gunji, Kazunori Ohno, Ranulfo Bezerra, Shotaro Kojima, Hanif Aryadi, Yoshito Okada, Masao Kuwahara, Masashi Konyo, Satoshi Tadokoro (2023). LayoutSLAM++: Simultaneous Estimation of Layout and Object Map Based on Geometric Features of Object Placement. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).

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Hanif A. Aryadi, Ranulfo Bezerra, Kazunori Ohno, Kenta Gunji, Shotaro Kojima, Masao Kuwahara, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro (2023). Multi-Agent Pickup and Delivery in Transformable Production. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).

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Ranulfo Bezerra, Kazunori Ohno, Shotaro Kojima, Hanif Aryadi, Kenta Gunji, Masao Kuwahara, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro (2023). From Mass Production to Transformable Production using Multi-robot Transportation System. AI and Robotics for Garment Industry.

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Ranulfo Bezerra, Kazunori Ohno, Shotaro Kojima, Hanif Aryadi, Kenta Gunji, Masao Kuwahara, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro (2022). Task Scheduling Problem for Heterogeneous Multi-Robot Garment Mass Customization. ICRA 2022 Workshop On Collaborative Robots And The Work Of The Future.

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