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Matthew Howard 0001
Person information
- affiliation: King's College London, Department of Informatics, UK
- affiliation (former): University of Tokyo, Department of Mechano-Informatics, Nakamura Lab, Japan
- affiliation (PhD 2009): University of Edinburgh, School of Informatics, UK
Other persons with the same name
- Matthew Howard — disambiguation page
- Matthew Howard 0002
(aka: Matthew Alexander Howard) — King's College London, Institute of Psychiatry, Centre for Neuroimaging Sciences, UK
- Matthew Howard 0003
- Matthew J. Howard — disambiguation page
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Journal Articles
- 2023
- [j15]Tianchen Shen
A Probabilistic Model of Human Activity Recognition with Loose Clothing. Sensors 23(10): 4669 (2023) - 2021
- [j14]S. M. Hadi Sadati
TMTDyn: 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) - [j13]Ernest Nlandu Kamavuako
Affordable Embroidered EMG Electrodes for Myoelectric Control of Prostheses: A Pilot Study. Sensors 21(15): 5245 (2021) - 2020
- [j12]Wataru Takano, Matthew Howard, Emel Demircan:
Special Issue on Robot Learning. Adv. Robotics 34(13): 827 (2020) - [j11]Jeevan Manavalan, Yuchen Zhao, Prabhakar Ray, Hsiu-Chin Lin, Matthew Howard:
A library for constraint consistent learning. Adv. Robotics 34(13): 845-857 (2020) - [j10]Aran Sena, Matthew Howard
Quantifying teaching behavior in robot learning from demonstration. Int. J. Robotics Res. 39(1) (2020) - [j9]Ryo Eguchi
Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models. IEEE Robotics Autom. Lett. 5(4): 5881-5888 (2020) - [j8]Ryo Eguchi
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): 6804 (2020) - [j7]Samuel Pitou
Hand-Made Embroidered Electromyography: Towards a Solution for Low-Income Countries. Sensors 20(12): 3347 (2020) - [j6]Fan Wu
Energy Regenerative Damping in Variable Impedance Actuators for Long-Term Robotic Deployment. IEEE Trans. Robotics 36(6): 1778-1790 (2020) - 2018
- [j5]Brendan Michael
Gait Reconstruction From Motion Artefact Corrupted Fabric-Embedded Sensors. IEEE Robotics Autom. Lett. 3(3): 1918-1924 (2018) - 2014
- [j4]Hsiu-Chin Lin, Matthew Howard
A novel approach for representing and generalising periodic gaits. Robotica 32(8): 1225-1244 (2014) - 2013
- [j3]Matthew Howard
Transferring Human Impedance Behavior to Heterogeneous Variable Impedance Actuators. IEEE Trans. Robotics 29(4): 847-862 (2013) - 2012
- [j2]David J. Braun
Optimal variable stiffness control: formulation and application to explosive movement tasks. Auton. Robots 33(3): 237-253 (2012) - 2009
- [j1]Matthew Howard
A novel method for learning policies from variable constraint data. Auton. Robots 27(2): 105-121 (2009)
Conference and Workshop Papers
- 2024
- [c33]Tianchen Shen, Irene Di Giulio, Matthew Howard:
Human Movement Prediction with Wearable Sensors on Loose Clothing. Humanoids 2024: 483-490 - 2023
- [c32]Tianchen Shen, Irene Di Giulio, Matthew Howard:
A Probabilistic Model of Activity Recognition with Loose Clothing. ICRA 2023: 12659-12664 - 2020
- [c31]Xinqi Bao, Matthew Howard, Imran Khan Niazi
Comparison between Embroidered and Gel Electrodes on ECG-Derived Respiration Rate. EMBC 2020: 2622-2625 - [c30]Prabhakar Ray, Matthew J. Howard:
Robotic Untangling of Herbs and Salads with Parallel Grippers. IROS 2020: 2624-2629 - 2019
- [c29]Samuel Pitou, Brendan Michael, Ganesh M. Bapat
Low-Cost Textile Myoelectric Control of Knee-Ankle-Foot-Orthosis. GHTC 2019: 1-7 - [c28]Aran Sena, Brendan Michael, Matthew Howard:
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. IROS 2019: 4281-4287 - [c27]Jeevan Manavalan, Matthew Howard:
Learning Singularity Avoidance. IROS 2019: 6849-6854 - 2018
- [c26]Aran Sena, Yuchen Zhao, Matthew J. Howard:
Teaching Human Teachers to Teach Robot Learners. ICRA 2018: 1-7 - [c25]Fan Wu
A Hybrid Dynamic-Regenerative Damping Scheme for Energy Regeneration in Variable Impedance Actuators. ICRA 2018: 1-6 - [c24]Samuel Pitou, Fan Wu
Embroidered Electrodes for Control of Affordable Myoelectric Prostheses. ICRA 2018: 1812-1817 - [c23]Yuchen Zhao, Aran Sena, Fan Wu
A Framework for Teaching Impedance Behaviours by Combining Human and Robot 'Best Practice'. IROS 2018: 3010-3015 - 2017
- [c22]Jeevan Manavalan, Matthew Howard:
Learning null space projections fast. ESANN 2017 - [c21]Andrew Mangezi, Andre Rosendo
Embroidered archimedean spiral electrodes for contactless prosthetic control. ICORR 2017: 1343-1348 - [c20]Hsiu-Chin Lin, Prabhakar Ray, Matthew Howard
Learning task constraints in operational space formulation. ICRA 2017: 309-315 - 2016
- [c19]Enrique Martínez Miranda, Peter McBurney
Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective. EAIS 2016: 103-109 - [c18]Roger B. Ribas Manero, Ali Shafti
Wearable embroidered muscle activity sensing device for the human upper leg. EMBC 2016: 6062-6065 - [c17]Ali Shafti
Designing embroidered electrodes for wearable surface electromyography. ICRA 2016: 172-177 - 2015
- [c16]Hsiu-Chin Lin, Matthew Howard
Learning null space projections. ICRA 2015: 2613-2619 - 2014
- [c15]Hsiu-Chin Lin, Matthew Howard, Sethu Vijayakumar:
A novel approach for generalising walking gaits across embodiments and behaviours. BioRob 2014: 1009-1015 - [c14]Brendan Michael
Eliminating motion artifacts from fabric-mounted wearable sensors. Humanoids 2014: 868-873 - [c13]Nantachai Sornkarn, Matthew Howard
Internal impedance control helps information gain in embodied perception. ICRA 2014: 6685-6690 - 2013
- [c12]Matthew Howard
Locally weighted least squares policy iteration for model-free learning in uncertain environments. IROS 2013: 1223-1229 - 2011
- [c11]Takeshi Mori, Matthew Howard
Model-free apprenticeship learning for transfer of human impedance behaviour. Humanoids 2011: 239-246 - [c10]Matthew Howard
Constraint-based equilibrium and stiffness control of variable stiffness actuators. ICRA 2011: 5554-5560 - [c9]David J. Braun
Exploiting Variable Stiffness in Explosive Movement Tasks. Robotics: Science and Systems 2011 - 2010
- [c8]Matthew Howard
Transferring impedance control strategies between heterogeneous systems via apprenticeship learning. Humanoids 2010: 98-105 - [c7]Djordje Mitrovic, Stefan Klanke, Matthew Howard
Exploiting sensorimotor stochasticity for learning control of variable impedance actuators. Humanoids 2010: 536-541 - [c6]Christopher Towell, Matthew Howard
Learning nullspace policies. IROS 2010: 241-248 - [c5]Sebastian Bitzer, Matthew Howard
Using dimensionality reduction to exploit constraints in reinforcement learning. IROS 2010: 3219-3225 - 2009
- [c4]Matthew Howard
A novel method for learning policies from constrained motion. ICRA 2009: 1717-1723 - [c3]Matthew Howard
Robust constraint-consistent learning. IROS 2009: 4629-4636 - 2008
- [c2]Matthew Howard
Learning potential-based policies from constrained motion. Humanoids 2008: 714-735 - 2006
- [c1]Matthew Howard
Learning Utility Surfaces for Movement Selection. ROBIO 2006: 286-292
Parts in Books or Collections
- 2010
- [p2]Matthew Howard
Methods for Learning Control Policies from Variable-Constraint Demonstrations. From Motor Learning to Interaction Learning in Robots 2010: 253-291 - 2009
- [p1]Sethu Vijayakumar, Marc Toussaint, Georgios Petkos, Matthew Howard:
Planning and Moving in Dynamic Environments. Creating Brain-Like Intelligence 2009: 151-191
Informal and Other Publications
- 2023
- [i14]Tianchen Shen, Irene Di Giulio, Matthew Howard:
Trajectory Forecasting with Loose Clothing Using Left-to-Right Hidden Markov Model. CoRR abs/2309.09237 (2023) - 2022
- [i13]Prabhakar Ray, Matthew Howard:
Robotic Untangling of Herbs and Salads with Parallel Grippers. CoRR abs/2208.04604 (2022) - [i12]Tianchen Shen, Irene Di Giulio, Matthew Howard:
A Probabilistic Model of Activity Recognition with Loose Clothing. CoRR abs/2209.11579 (2022) - 2020
- [i11]Fan Wu, Matthew Howard:
Exploiting Variable Impedance for Energy Efficient Sequential Movements. CoRR abs/2002.12075 (2020) - [i10]Jeevan Manavalan, Prabhakar Ray, Matthew Howard:
Exploiting Ergonomic Priors in Human-to-Robot Task Transfer. CoRR abs/2003.00544 (2020) - 2019
- [i9]Aran Sena, Brendan Michael, Matthew Howard:
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. CoRR abs/1903.01240 (2019) - [i8]Aran Sena, Matthew J. Howard:
Quantifying Teaching Behaviour in Robot Learning from Demonstration. CoRR abs/1905.04218 (2019) - 2018
- [i7]Jeevan Manavalan, Yuchen Zhao, Matthew Howard:
Learning Singularity Avoidance. CoRR abs/1807.04040 (2018) - [i6]Yuchen Zhao, Hsiu-Chin Lin, Matthew Howard:
A Library for Constraint Consistent Learning. CoRR abs/1807.04676 (2018) - [i5]Fan Wu, Matthew Howard:
A Hybrid Dynamic-regenerative Damping Scheme for Energy Regeneration in Variable Impedance Actuators. CoRR abs/1808.03143 (2018) - [i4]Fan Wu, Matthew Howard:
Energy regenerative damping in variable impedance actuators for long-term robotic deployment. CoRR abs/1810.11246 (2018) - 2016
- [i3]Roger B. Ribas Manero, Jug-Raj Grewal, Brendan Michael, Ali Shafti, Kaspar Althoefer, J. Ll. Ribas Fernandez, Matthew J. Howard:
Wearable Embroidered Muscle Activity Sensing Device for the Human Upper Leg. CoRR abs/1602.04841 (2016) - [i2]Hsiu-Chin Lin, Matthew Howard:
Learning Null Space Projections in Operational Space Formulation. CoRR abs/1607.07611 (2016) - 2015
- [i1]Enrique Martínez Miranda, Peter McBurney, Matthew J. Howard:
Learning Unfair Trading: a Market Manipulation Analysis From the Reinforcement Learning Perspective. CoRR abs/1511.00740 (2015)
Coauthor Index
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