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ORCIDHironobu Sasaki
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2010 – 2019
- 2018
[j5]Masaya Maeda, Hironobu Sasaki, Etsuo Segawa
, Akito Suzuki, Kanako Suzuki:
Weak limit theorem for a nonlinear quantum walk. Quantum Inf. Process. 17(9): 215 (2018)- 2016
- [j4]Fei Chen, Ferdinando Cannella, Jian Huang, Hironobu Sasaki, Toshio Fukuda:
A Study on Error Recovery Search Strategies of Electronic Connector Mating for Robotic Fault-Tolerant Assembly. J. Intell. Robotic Syst. 81(2): 257-271 (2016) - 2014
- [c10]Fei Chen, Ferdinando Cannella, Hironobu Sasaki, Carlo Canali, Toshio Fukuda:
Error recovery strategies for electronic connectors mating in robotic fault-tolerant assembly system. MESA 2014: 1-6 - 2012
- [j3]Fei Chen, Kosuke Sekiyama, Baiqing Sun, Pei Di, Jian Huang, Hironobu Sasaki, Toshio Fukuda:
Design and Application of an Intelligent Robotic Gripper for Accurate and Tolerant Electronic Connector Mating. J. Robotics Mechatronics 24(3): 441-451 (2012) - [j2]Pei Di, Fei Chen, Hironobu Sasaki, Jian Huang, Toshio Fukuda, Takayuki Matsuno:
Vision-Force Guided Monitoring for Mating Connectors in Wiring Harness Assembly Systems. J. Robotics Mechatronics 24(4): 666-676 (2012) - 2011
- [j1]Fei Chen, Kosuke Sekiyama, Jian Huang, Baiqing Sun, Hironobu Sasaki, Toshio Fukuda:
An assembly strategy scheduling method for human and robot coordinated cell manufacturing. Int. J. Intell. Comput. Cybern. 4(4): 487-510 (2011) - [c9]Fei Chen, Kosuke Sekiyama, Hironobu Sasaki, Jian Huang, Baiqing Sun, Toshio Fukuda:
Assembly strategy modeling and selection for human and robot coordinated cell assembly. IROS 2011: 4670-4675
2000 – 2009
- 2009
- [c8]Hironobu Sasaki, Naoyuki Kubota:
Distributed behavior learning of multiple mobile robots based on spiking neural network and steady-state genetic algorithm. RiiSS 2009: 73-78 - 2008
- [c7]Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi:
Evolutionary Computation for Simultaneous Localization and Mapping Based on Topological Map of a Mobile Robot. ICIRA (1) 2008: 883-891 - 2007
- [c6]Hironobu Sasaki, Naoyuki Kubota:
Behavior learning of multiple mobile robots based on spiking neural networks with a parallel genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 1456-1461 - [c5]Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Yasutsugu Nogawa:
Illuminance Measurement and SLAM of A Mobile Robot based on Computational Intelligence. CIRA 2007: 541-545 - 2006
- [c4]Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Yasutsugu Nogawa:
Steady-State Genetic Algorithm for Self-localization in Illuminance Measurement of A Mobile Robot. SMC 2006: 1897-1902 - 2005
- [c3]Naoyuki Kubota, Hironobu Sasaki:
Spiking Neural Network for Behavior Learning of A Mobile Robot. AMiRE 2005: 267-272 - [c2]Naoyuki Kubota, Hironobu Sasaki:
Genetic algorithm for a fuzzy spiking neural network of a mobile robot. CIRA 2005: 321-326 - 2004
- [c1]Naoyuki Kubota, Hironobu Sasaki:
Behavior learning of a partner robot with a spiking neural network. FUZZ-IEEE 2004: 299-304
Coauthor Index
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