Eliminating motion artifacts from fabric-mounted wearable sensors. - Brendan Michael; Matthew J. Howard 001 (Humanoids, 2014)

Wearable embroidered muscle activity sensing device for the human upper leg. - Roger B. Ribas Manero; Ali Shafti; Brendan Michael; Jug-Raj Grewal; J. Ll. Ribas Fernandez; Kaspar Althoefer; Matthew J. Howard 001 (EMBC, 2016)

Embroidered Electrodes for Control of Affordable Myoelectric Prostheses. - Samuel Pitou; Fan Wu 015; Ali Shafti; Brendan Michael; Riaan Stopforth; Matthew Howard 001 (ICRA, 2018)

Gait Reconstruction From Motion Artefact Corrupted Fabric-Embedded Sensors. - Brendan Michael; Matthew Howard 001 (IEEE Robotics Autom. Lett., 2018)

Low-Cost Textile Myoelectric Control of Knee-Ankle-Foot-Orthosis. - Samuel Pitou; Brendan Michael; Ganesh M. Bapat; S. Sujatha; Matthew Howard 001 (GHTC, 2019)

Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. - Aran Sena; Brendan Michael; Matthew Howard 001 (IROS, 2019)

Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models. - Ryo Eguchi; Brendan Michael; Matthew Howard 001; Masaki Takahashi (IEEE Robotics Autom. Lett., 2020)

Corretion to "Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models". - Ryo Eguchi; Brendan Michael; Matthew Howard 001; Masaki Takahashi (IEEE Robotics Autom. Lett., 2020)

Hand-Made Embroidered Electromyography: Towards a Solution for Low-Income Countries. - Samuel Pitou; Brendan Michael; Karina Thompson; Matthew Howard 001 (Sensors, 2020)

Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. - Hanbit Oh; Hikaru Sasaki; Brendan Michael; Takamitsu Matsubara (ICRA, 2021)

TMTDyn: A Matlab package for modeling and control of hybrid rigid-continuum robots based on discretized lumped systems and reduced-order models. - S. M. Hadi Sadati; S. Elnaz Naghibi; Ali Shiva; Brendan Michael; Ludovic Renson; Matthew Howard 001; D. Caleb Rucker; Kaspar Althoefer; Thrishantha Nanayakkara; Steffen Zschaler; Christos Bergeles; Helmut Hauser; et al. (Int. J. Robotics Res., 2021)

Disturbance-injected Robust Imitation Learning with Task Achievement. - Hirotaka Tahara; Hikaru Sasaki; Hanbit Oh; Brendan Michael; Takamitsu Matsubara (ICRA, 2022)

Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics. - Naoto Komeno; Brendan Michael; Katharina Küchler; Edgar Anarossi; Takamitsu Matsubara (SICE, 2022)

Task-Relevant Encoding of Domain Knowledge in Dynamics Modeling: Application to Furnace Forecasting From Video. - Brendan Michael; Akifumi Ise; Kaoru Kawabata; Takamitsu Matsubara (IEEE Access, 2022)

Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation. - Hanbit Oh; Hikaru Sasaki; Brendan Michael; Takamitsu Matsubara (Neural Networks, 2023)