Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-Jo Chun, Takayuki Okatani (2023), “Improving visual question answering for bridge inspection by pre-training with external data of image–text pairs”, Computer-Aided Civil and Infrastructure Engineering., August, 2023. pp. 1-17
Yusuke Tamaishi, Kentaro Fukuda, Kazuto Nakashima, Ryuichi Maeda, Kohei Matsumoto, Ryo Kurazume (2023), “Evaluation of ground stiffness using multiple accelerometers on the ground during compaction by vibratory rollers”, Proceedings of the 40th International Symposium on Automation and Robotics in Construction., July, 2023. pp. 262-269
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara (2022), “Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization”, Robotics and Autonomous Systems., April, 2023. Vol. 165, pp. 1-30.
島田徹, 永谷圭司, 谷島諒丞, 金崎裕之, 皆川淳, 永田直己, 金井啓通, 羽田靖史, 藤井浩光 (2023), “自然災害対策に活用する遠隔調査システムの開発”, 検査技術., April, 2023. Vol. 28(4), pp. 58-63.
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara (2023), “Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks”, IEEE Robotics and Automation Letters.,March, 2023. Vol. 8(5), pp. 2724-2731
Hidenori Takamiya, Ryosuke Yajima, Jun Younes Louhi Kasahara, Ren Komatsu, Keiji Nagatani, Atsushi Yamashita, Hajime Asama (2023), “Reinforcement Learning-based Motion Generation for a Tracked Robot to Go Over a Sphere-shaped Non-fixed Obstacle”, 2023 IEEE/SICE International Symposium on System Integration (SII),. February, 2023. pp. 1-6.
Riku Tada, Yusuke Tsunoda, Teruyo Wada, Koichi Osuka (2023), “Proposal of efficient shepherding controller with adjusting gains according to the navigation phase”, AROB-ISBC-SWARM2023,. January, 2023. pp. 1439-1444.
Runze Xiao, Yusuke Tsunoda, Koichi Osuka (2023), “The Exploitation of “Unfavorable” Environmental Effects in a Centipede-type Swarm Robot System for Unknown Environment Navigation and Exploration”, AROB-ISBC-SWARM2023,. January, 2023. pp. 879-882.
Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani (2022), “Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning”, Thirty-sixth Conference on Neural Information Processing Systems., November, 2022. vol. 35, pp. 1-12.
Tatsuro Yamane, Pang-jo Chun, Riki Honda (2022), “Detecting and Localising Damage Based on Image Recognition and Structure from Motion, and Reflecting it in a 3D Bridge Model”, Structure and Infrastructure Engineering., October, 2022. pp. 1-13.