Deep recurrent neural network for mobile human activity recognition with high throughput M Inoue, S Inoue, T Nishida Artificial Life and Robotics 23, 173-185, 2018 | 324 | 2018 |
Development of universal robot gripper using MR α fluid T Nishida, Y Okatani, K Tadakuma International journal of humanoid robotics 13 (04), 1650017, 2016 | 89 | 2016 |
Robot path planning by LSTM network under changing environment M Inoue, T Yamashita, T Nishida Advances in Computer Communication and Computational Sciences: Proceedings …, 2019 | 56 | 2019 |
Point cloud matching using singular value decomposition S Oomori, T Nishida, S Kurogi Artificial Life and Robotics 21, 149-154, 2016 | 37 | 2016 |
Development of universal parallel gripper using reformed magnetorheological fluid Y Tsugami, T Barbié, K Tadakuma, T Nishida 2017 11th Asian control conference (ASCC), 778-783, 2017 | 35 | 2017 |
Development of universal robot gripper using MRα fluid Y Okatani, T Nishida, K Tadakuma 2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014 | 33 | 2014 |
Development of universal jamming gripper with a force feedback mechanism T Nishida, D Shigehisa, N Kawashima, K Tadakuma 2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014 | 33 | 2014 |
Self‐Tuning PI Control Using Adaptive PSO of a Web Transport System with Overlapping Decentralized Control T Nishida, T Sakamoto, NI Giannoccaro Electrical Engineering in Japan 184 (1), 56-65, 2013 | 21 | 2013 |
A design of adaptive control systems with input saturation N Takagi, T Nishida, T Kobayashi 2006 SICE-ICASE International Joint Conference, 984-987, 2006 | 17 | 2006 |
Development of a Vision System for an Outdoor Service Robot to Collect Trash on Streets. Y Fuchikawa, T Nishida, S Kurogi, T Kondo, F Ohkawa, T Suehiro, ... Computer Graphics and Imaging, 100-105, 2005 | 17 | 2005 |
Post‐intensive care syndrome: Recent advances and future directions S Inoue, N Nakanishi, F Amaya, Y Fujinami, J Hatakeyama, T Hifumi, ... Acute Medicine & Surgery 11 (1), e929, 2024 | 16 | 2024 |
Motion planning by T‐RRT with potential function for vertical articulated robots R Kabutan, T Nishida Electrical Engineering in Japan 204 (2), 34-43, 2018 | 16 | 2018 |
An analysis of competitive and re-initialization learning for adaptive vector quantization T Nishida, S Kurogi, T Saeki IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 16 | 2001 |
Decentralized control performances of an experimental web handling system NI Giannoccaro, T Nishida, T Sakamoto International Journal of Advanced Robotic Systems 9 (4), 141, 2012 | 14 | 2012 |
Development of a sensor system for outdoor service robot T Nishida, Y Takemura, Y Fuchikawa, S Kurogi, S Ito, M Obata, ... 2006 SICE-ICASE International Joint Conference, 2687-2691, 2006 | 14 | 2006 |
Adaptive Vector Quantization Using Re-initialization Method. T NISHIDA, S KUROGI, T SAEKI 電子情報通信学会論文誌 D-2 84 (7), 1503-1511, 2001 | 14 | 2001 |
Simple structured gripper using electromagnet and permanent magnet Y Tsugami, T Nishida International Conference on ICT Robotics 2017, 64-67, 2017 | 13 | 2017 |
Modification of ABC algorithm for adaptation to time-varying functions T Nishida IEEJ Transactions on Electronics, Information and Systems 132 (4), 584-591, 2012 | 13 | 2012 |
Design of adaptive control systems for unstable plants in the presence of input saturation N Takagi, T Nishida, T Kobayashi SICE Annual Conference 2007, 454-457, 2007 | 13 | 2007 |
Gaussian mixture spline trajectory: learning from a dataset, generating trajectories without one T Barbié, R Kabutan, R Tanaka, T Nishida Advanced Robotics 32 (10), 547-558, 2018 | 12 | 2018 |