TMTDyn: A Matlab package for modeling and control of hybrid rigid–continuum robots based on discretized lumped systems and reduced-order models SMH Sadati, SE Naghibi, A Shiva, B Michael, L Renson, M Howard, ... The International Journal of Robotics Research 40 (1), 296-347, 2021 | 86 | 2021 |
Wearable embroidered muscle activity sensing device for the human upper leg RBR Manero, A Shafti, B Michael, J Grewal, JLR Fernández, K Althoefer, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 43 | 2016 |
Embroidered electrodes for control of affordable myoelectric prostheses S Pitou, F Wu, A Shafti, B Michael, R Stopforth, M Howard 2018 IEEE International Conference on Robotics and Automation (ICRA), 1812-1817, 2018 | 29 | 2018 |
Activity recognition with wearable sensors on loose clothing B Michael, M Howard Plos one 12 (10), e0184642, 2017 | 28 | 2017 |
Improving task-parameterised movement learning generalisation with frame-weighted trajectory generation A Sena, B Michael, M Howard 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 21 | 2019 |
Learning predictive movement models from fabric-mounted wearable sensors B Michael, M Howard IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (12 …, 2015 | 17 | 2015 |
Deep koopman with control: Spectral analysis of soft robot dynamics N Komeno, B Michael, K Küchler, E Anarossi, T Matsubara 2022 61st Annual Conference of the Society of Instrument and Control …, 2022 | 12 | 2022 |
Hand-made embroidered electromyography: Towards a solution for low-income countries S Pitou, B Michael, K Thompson, M Howard Sensors 20 (12), 3347, 2020 | 12 | 2020 |
Disturbance-injected robust imitation learning with task achievement H Tahara, H Sasaki, H Oh, B Michael, T Matsubara 2022 International Conference on Robotics and Automation (ICRA), 2466-2472, 2022 | 11 | 2022 |
Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation H Oh, H Sasaki, B Michael, T Matsubara Neural Networks 158, 42-58, 2023 | 10 | 2023 |
Bayesian disturbance injection: Robust imitation learning of flexible policies H Oh, H Sasaki, B Michael, T Matsubara 2021 IEEE International Conference on Robotics and Automation (ICRA), 8629-8635, 2021 | 9 | 2021 |
Eliminating motion artifacts from fabric-mounted wearable sensors B Michael, M Howard 2014 IEEE-RAS International Conference on Humanoid Robots, 868-873, 2014 | 9 | 2014 |
Gait reconstruction from motion artefact corrupted fabric-embedded sensors B Michael, M Howard IEEE Robotics and Automation Letters 3 (3), 1918-1924, 2018 | 6 | 2018 |
Task-Relevant Encoding of Domain Knowledge in Dynamics Modeling: Application to Furnace Forecasting From Video B Michael, A Ise, K Kawabata, T Matsubara IEEE Access 10, 4615-4627, 2022 | 4 | 2022 |
Wearable embroidered muscle activity sensing device for the human upper leg RB Ribas Manero, J Grewal, B Michael, A Shafti, K Althoefer, ... arXiv e-prints, arXiv: 1602.04841, 2016 | 3 | 2016 |
Shift-adaptive estimation of joint angle using instrumented brace with two stretch sensors based on gaussian mixture models R Eguchi, B Michael, M Howard, M Takahashi IEEE Robotics and Automation Letters 5 (4), 5881-5888, 2020 | 2 | 2020 |
Low-cost textile myoelectric control of knee-ankle-foot-orthosis S Pitou, B Michael, GM Bapat, S Sujatha, M Howard 2019 IEEE Global Humanitarian Technology Conference (GHTC), 1-7, 2019 | 1 | 2019 |
Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models (vol 5, pg 5881, 2020) R Eguchi, B Michael, M Howard, M Takahashi IEEE ROBOTICS AND AUTOMATION LETTERS 5 (4), 6804-6804, 2020 | | 2020 |
The Role of Motion Artefacts in Fabric-Embedded Sensors B Michael King's College London, 2018 | | 2018 |