学会発表・論文（パナソニック関連）
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion
Ryo Okumura, Nobuki Nishio, Tadahiro Taniguchi
Link: https://arxiv.org/abs/2203.05955 -
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada, Tadahiro Taniguchi
Link: https://arxiv.org/abs/2203.00494 -
arXiv:2203.11437
Self-Supervised Representation Learning as Multimodal Variational Inference
Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi
Link: https://arxiv.org/abs/2203.11437 -
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