PEOPLE

Prof. Tadahiro Taniguchi Prof. Tadahiro Taniguchi

Prof. Tadahiro Taniguchi

Visiting Chief Engineer at Technology Division
Professor at the Department of Information Science and Engineering,
Ritsumeikan University

After working as a research fellow at the Japan Society for the Promotion of Science, he started working as an assistant professor of the Department of Information Science and Engineering at Ritsumeikan University and then became an associate professor. In April 2017, He became a professor there.
He has been promoting symbol emergence, which plays a central role in linguistic and symbolic communication for human beings. He has been working on communication tool designs based on constructive understanding and its related systems combining with AI and robotics. He also created “Bibliobattle”, a game-style activity to introduce books to each other. His publications include Symbol Emergence in Robotics (Kodansha Ltd.), Learning AI introduction with images (Kodansha Ltd.), and Bibliobattle (Bunshun Shinsho).

*The department is where the interviewee belonged to at that time

Publications in collaboration with Panasonic members

  • IEEE International Conference on Robotics and Automation (ICRA) 2021

    Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

    Masashi Okada, Tadahiro Taniguchi
    Link: https://arxiv.org/abs/2007.14535

  • PLOS ONE

    Panacea: Visual exploration system for analyzing trends in annual recruitment using time-varying graphs

    Toshiyuki Yokoyama, Masashi Okada, Tadahiro Taniguchi
    Link: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247587

  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020　　　　※採択率：47%

    PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

    Masashi Okada, Norio Kosaka, Tadahiro Taniguchi
    Link: https://arxiv.org/abs/2003.00370

  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020　　　　※採択率：47%

    Domain-Adversarial and -Conditional State Space Model for Imitation Learning

    Ryo Okumura, Masashi Okada, Tadahiro Taniguchi
    Link: https://arxiv.org/abs/2001.11628

  • IEEE International Conference on Robotics and Automation (ICRA 2020)　　　　※採択率：42% (1,483/3,512)

    Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor

    Masashi Okada, Shinji Takenaka, Tadahiro Taniguchi
    Link: https://arxiv.org/abs/1909.07031

  • Conference on Robot Learning (CoRL 2019)　　　　　　　　　　　※採択率：28% (110/398)

    Variational Inference MPC for Bayesian Model-based Reinforcement Learning

    Masashi Okada, Tadahiro Taniguchi
    Link: https://arxiv.org/abs/1907.04202

  • IEEE International Conference on Robotics and Automation (ICRA) 2018　　　　※採択率：40.6% (1,030/2539)

    Acceleration of Gradient-based Path Integral Method for Efficient Optimal and Inverse Optimal Control

    Masashi Okada, Tadahiro Taniguchi
    Link: https://arxiv.org/abs/1710.06578

  • Data Science and Big Data Analytics (DSBDA), IEEE International Conference on Data Mining Workshop (ICDMW 2018)

    An Extension of Gradient Boosted Decision Tree Incorporating Statistical Tests

    Ryuji Sakata, Iku Ohama, Tadahiro Taniguchi
    Link: https://ieeexplore.ieee.org/document/8637438