Matthew Howard

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 29

Top Topics

Human Activity Recognition

Locally Weighted

Top Venues

IEEE Robotics Autom. Lett.

Publications

Tianchen Shen, Irene Di Giulio, Matthew Howard
Trajectory Forecasting with Loose Clothing Using Left-to-Right Hidden Markov Model. CoRR (2023)
Tianchen Shen, Irene Di Giulio, Matthew Howard
A Probabilistic Model of Activity Recognition with Loose Clothing. ICRA (2023)
Tianchen Shen, Irene Di Giulio, Matthew Howard
A Probabilistic Model of Human Activity Recognition with Loose Clothing. Sensors 23 (10) (2023)
Prabhakar Ray, Matthew Howard
Robotic Untangling of Herbs and Salads with Parallel Grippers. CoRR (2022)
S. M. Hadi Sadati, S. Elnaz Naghibi, Ali Shiva, Brendan Michael, Ludovic Renson, Matthew Howard, D. Caleb Rucker, Kaspar Althoefer, Thrishantha Nanayakkara, Steffen Zschaler, Christos Bergeles, Helmut Hauser, Ian D. Walker
: A Matlab package for modeling and control of hybrid rigid-continuum robots based on discretized lumped systems and reduced-order models. Int. J. Robotics Res. 40 (1) (2021)
Ryo Eguchi, Brendan Michael, Matthew Howard, Masaki Takahashi
Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models. IEEE Robotics Autom. Lett. 5 (4) (2020)
Wataru Takano, Matthew Howard, Emel Demircan
Special Issue on Robot Learning. Adv. Robotics 34 (13) (2020)
Jeevan Manavalan, Yuchen Zhao, Prabhakar Ray, Hsiu-Chin Lin, Matthew Howard
A library for constraint consistent learning. Adv. Robotics 34 (13) (2020)
Jeevan Manavalan, Prabhakar Ray, Matthew Howard
Exploiting Ergonomic Priors in Human-to-Robot Task Transfer. CoRR (2020)
Samuel Pitou, Brendan Michael, Karina Thompson, Matthew Howard
Hand-Made Embroidered Electromyography: Towards a Solution for Low-Income Countries. Sensors 20 (12) (2020)
Fan Wu, Matthew Howard
Exploiting Variable Impedance for Energy Efficient Sequential Movements. CoRR (2020)
Aran Sena, Matthew Howard
Quantifying teaching behavior in robot learning from demonstration. Int. J. Robotics Res. 39 (1) (2020)
Ryo Eguchi, Brendan Michael, Matthew Howard, Masaki Takahashi
Corretion to "Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models". IEEE Robotics Autom. Lett. 5 (4) (2020)
Fan Wu, Matthew Howard
Energy Regenerative Damping in Variable Impedance Actuators for Long-Term Robotic Deployment. IEEE Trans. Robotics 36 (6) (2020)
Aran Sena, Brendan Michael, Matthew Howard
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. IROS (2019)
Aran Sena, Brendan Michael, Matthew Howard
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. CoRR (2019)
Jeevan Manavalan, Matthew Howard
Learning Singularity Avoidance. IROS (2019)
Samuel Pitou, Brendan Michael, Ganesh M. Bapat, S. Sujatha, Matthew Howard
Low-Cost Textile Myoelectric Control of Knee-Ankle-Foot-Orthosis. GHTC (2019)
Fan Wu, Matthew Howard
A Hybrid Dynamic-Regenerative Damping Scheme for Energy Regeneration in Variable Impedance Actuators. ICRA (2018)
Fan Wu, Matthew Howard
A Hybrid Dynamic-regenerative Damping Scheme for Energy Regeneration in Variable Impedance Actuators. CoRR (2018)
Fan Wu, Matthew Howard
Energy regenerative damping in variable impedance actuators for long-term robotic deployment. CoRR (2018)
Yuchen Zhao, Hsiu-Chin Lin, Matthew Howard
A Library for Constraint Consistent Learning. CoRR (2018)
Brendan Michael, Matthew Howard
Gait Reconstruction From Motion Artefact Corrupted Fabric-Embedded Sensors. IEEE Robotics Autom. Lett. 3 (3) (2018)
Jeevan Manavalan, Yuchen Zhao, Matthew Howard
Learning Singularity Avoidance. CoRR (2018)
Samuel Pitou, Fan Wu, Ali Shafti, Brendan Michael, Riaan Stopforth, Matthew Howard
Embroidered Electrodes for Control of Affordable Myoelectric Prostheses. ICRA (2018)
Andrew Mangezi, Andre Rosendo, Matthew Howard, Riaan Stopforth
Embroidered archimedean spiral electrodes for contactless prosthetic control. ICORR (2017)
Jeevan Manavalan, Matthew Howard
Learning null space projections fast. ESANN (2017)
Hsiu-Chin Lin, Prabhakar Ray, Matthew Howard
Learning task constraints in operational space formulation. ICRA (2017)
Hsiu-Chin Lin, Matthew Howard
Learning Null Space Projections in Operational Space Formulation. CoRR (2016)
Hsiu-Chin Lin, Matthew Howard, Sethu Vijayakumar
Learning null space projections. ICRA (2015)
Hsiu-Chin Lin, Matthew Howard, Sethu Vijayakumar
A novel approach for generalising walking gaits across embodiments and behaviours. BioRob (2014)
Hsiu-Chin Lin, Matthew Howard, Sethu Vijayakumar
A novel approach for representing and generalising periodic gaits. Robotica 32 (8) (2014)
Nantachai Sornkarn, Matthew Howard, D. P. Thrishantha Nanayakkara
Internal impedance control helps information gain in embodied perception. ICRA (2014)
Matthew Howard, Yoshihiko Nakamura
Locally weighted least squares policy iteration for model-free learning in uncertain environments. IROS (2013)
Matthew Howard, David J. Braun, Sethu Vijayakumar
Transferring Human Impedance Behavior to Heterogeneous Variable Impedance Actuators. IEEE Trans. Robotics 29 (4) (2013)
David J. Braun, Matthew Howard, Sethu Vijayakumar
Optimal variable stiffness control: formulation and application to explosive movement tasks. Auton. Robots 33 (3) (2012)
David J. Braun, Matthew Howard, Sethu Vijayakumar
Exploiting Variable Stiffness in Explosive Movement Tasks. Robotics: Science and Systems (2011)
Takeshi Mori, Matthew Howard, Sethu Vijayakumar
Model-free apprenticeship learning for transfer of human impedance behaviour. Humanoids (2011)
Matthew Howard, David J. Braun, Sethu Vijayakumar
Constraint-based equilibrium and stiffness control of variable stiffness actuators. ICRA (2011)
Christopher Towell, Matthew Howard, Sethu Vijayakumar
Learning nullspace policies. IROS (2010)
Djordje Mitrovic, Stefan Klanke, Matthew Howard, Sethu Vijayakumar
Exploiting sensorimotor stochasticity for learning control of variable impedance actuators. Humanoids (2010)
Matthew Howard, Djordje Mitrovic, Sethu Vijayakumar
Transferring impedance control strategies between heterogeneous systems via apprenticeship learning. Humanoids (2010)
Sebastian Bitzer, Matthew Howard, Sethu Vijayakumar
Using dimensionality reduction to exploit constraints in reinforcement learning. IROS (2010)
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar
A novel method for learning policies from variable constraint data. Auton. Robots 27 (2) (2009)
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar
A novel method for learning policies from constrained motion. ICRA (2009)
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar
Robust constraint-consistent learning. IROS (2009)
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar
Learning potential-based policies from constrained motion. Humanoids (2008)
Matthew Howard, Michael Gienger, Christian Goerick, Sethu Vijayakumar
Learning Utility Surfaces for Movement Selection. ROBIO (2006)