| Moving toward soft robotics: A decade review of the design of hand exoskeletons T Shahid, D Gouwanda, SG Nurzaman, AA Gopalai Biomimetics 3 (3), 17, 2018 | 146 | 2018 |
| Soft-material robotics L Wang, SG Nurzaman, F Iida Foundations and Trends® in Robotics 5 (3), 191-259, 2017 | 66 | 2017 |
| SVAS3: Strain Vector Aided Sensorization of Soft Structures U Culha, SG Nurzaman, F Clemens, F Iida Sensors 14 (7), 12748-12770, 2014 | 64 | 2014 |
| From Lévy to Brownian: a computational model based on biological fluctuation SG Nurzaman, Y Matsumoto, Y Nakamura, K Shirai, S Koizumi, H Ishiguro PloS one 6 (2), e16168, 2011 | 59 | 2011 |
| Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective F Iida, SG Nurzaman Interface focus 6 (4), 20160016, 2016 | 51 | 2016 |
| Active sensing system with in situ adjustable sensor morphology SG Nurzaman, U Culha, L Brodbeck, L Wang, F Iida PLoS One 8 (12), e84090, 2013 | 49 | 2013 |
| Yuragi-based adaptive searching behavior in mobile robot: From bacterial chemotaxis to levy walk SG Nurzaman, Y Matsumoto, Y Nakamura, S Koizumi, H Ishiguro 2008 IEEE International Conference on Robotics and Biomimetics, 806-811, 2009 | 48 | 2009 |
| Biologically inspired adaptive mobile robot search with and without gradient sensing SG Nurzaman, Y Matsumoto, Y Nakamura, S Koizumi, H Ishiguro 2009 IEEE/RSJ international conference on intelligent robots and systems …, 2009 | 47 | 2009 |
| A sliding mode observer for infinitely unobservable descriptor systems JHT Ooi, CP Tan, SG Nurzaman, KY Ng IEEE Transactions on Automatic Control 62 (7), 3580-3587, 2017 | 42 | 2017 |
| Soft robotics on the move: scientific networks, activities, and future challenges SG Nurzaman, F Iida, L Margheri, C Laschi Soft Robotics 1 (2), 154-158, 2014 | 39 | 2014 |
| Robust multimodal indirect sensing for soft robots via neural network-aided filter-based estimation JY Loo, ZY Ding, VM Baskaran, SG Nurzaman, CP Tan Soft Robotics 9 (3), 591-612, 2022 | 35 | 2022 |
| Soft robotics education X Yu, SG Nurzaman, U Culha, F Iida Soft Robotics 1 (3), 202-212, 2014 | 29 | 2014 |
| H-infinity based extended kalman filter for state estimation in highly non-linear soft robotic system JY Loo, CP Tan, SG Nurzaman 2019 American control conference (ACC), 5154-5160, 2019 | 28 | 2019 |
| An adaptive switching behavior between levy and Brownian random search in a mobile robot based on biological fluctuation SG Nurzaman, Y Matsumoto, Y Nakamura, K Shirai, S Koizumi, H Ishiguro 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 28 | 2010 |
| Motion pattern discrimination for soft robots with morphologically flexible sensors U Culha, U Wani, SG Nurzaman, F Clemens, F Iida 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 25 | 2014 |
| Non-linear system identification and state estimation in a pneumatic based soft continuum robot JY Loo, KC Kong, CP Tan, SG Nurzaman 2019 IEEE Conference on control technology and applications (CCTA), 39-46, 2019 | 23 | 2019 |
| Soft robotics [tc spotlight] SG Nurzaman, F Iida, C Laschi, A Ishiguro, R Wood IEEE Robotics & Automation Magazine 20 (3), 24-95, 2013 | 23 | 2013 |
| Understanding the interaction between older adults and soft service robots: Insights from robotics and the technology acceptance model LY Lee, WM Lim, PL Teh, OAS Malik, S Nurzaman AIS Transactions on Human-Computer Interaction 12 (3), 125-145, 2020 | 21 | 2020 |
| 'Yuragi'-Based Adaptive Mobile Robot Search With and Without Gradient Sensing: From Bacterial Chemotaxis to a Levy Walk SG Nurzaman, Y Matsumoto, Y Nakamura, S Koizumi, H Ishiguro Advanced Robotics 25 (16), 2019-2037, 2011 | 21 | 2011 |
| Guided self-organization in a dynamic embodied system based on attractor selection mechanism SG Nurzaman, X Yu, Y Kim, F Iida Entropy 16 (5), 2592-2610, 2014 | 18 | 2014 |
Fumiya IidaUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
