Here you can find the publications associated to the Robot Learning Lab. For more publication details, you can find at King's research portal.
2022 |
A Probabilistic Model of Activity Recognition with Loose Clothings Shen T, Di Giulio I, Howard M arXiv preprint arXiv:2209.11579, 2022. pdf bib |
2020 |
Energy regenerative damping in variable impedance actuators for long-term robotic deployment. Wu, F. & Howard, M. J. W., IEEE transactions on robotics Dec 2020 bib dataset |
| A Library for Constraint Consistent Learning. Manavalan, J., Zhao, Y., Ray, P., Lin, H. C. & Howard, M., Advance Robotics , Jul 2020 bib dataset | |
| Hand-made embroidered electromyography: Towards a solution for low-income countries. Pitou, S., Michael, B., Thompson, K. & Howard, M Sensors Jun 2020 bib dataset | |
| Shift-adaptive Estimation of Joint Angle Using Instrumented Brace with Two Stretch Sensors Based on Gaussian Mixture Models.Eguchi, R., Michael, B., Howard, M. & Takahashi, M. IEEE Robotics and Automation Letters. , Jun 2020 bib | |
2019 |
Order flow dynamics for prediction of order cancelation and applications to detect market manipulation Martinez Miranda, E., Phelps, S. G. & Howard, M. J. W High Frequency , 2019. bib |
| TMTDyn: A Matlab Package for Modeling and Control of Hybrid Rigid-Continuum Robots Based on Discretized Lumped System and Reduced-Order Models.Sadati, S., Naghibi, S. E., Shiva, A., Michael, B., Renson, L., Howard, M. J. W., Rucker, C., Althoefer, K., Nanayakkara, T., Zschaler, S., Bergeles, C., Hauser, H. & Walker, I. D. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH. , 2019. bib | |
2017 |
Embriodered Electromyography: A Systematic Design Guide Shafti, A., Manero, R. B. R., Borg, A. M., Althoefer, K. & Howard, M. J., IEEE transactions on neural systems and rehabilitation engineering , 2017. bib |
| Activity Recognition with Wearable Sensors on Loose Clothing. Michael, B. & Howard, M. J. W. PLOS One. , 2017. bib dataset | |
2016 |
Wearable embroidered muscle activity sensing device for the human upper leg. R. B. R. Manero, B. Michael, A. Shafti, K. Althoefer, J. L. R. Fernandez, and M. Howard. IEEE Int. Conf. Eng. in Medicine & Biology Soc., 2016. In Press. Featured in MIT Technology Review: https://www.technologyreview.com/s/600908/future-wearables-intelligent-leggings-measure-muscle-fatigue-in-runners/. [ bib ] |
| Learning unfair trading: a market manipulation analysis from the reinforcement learning perspective. E. Martinez-Miranda, P. McBurney, and M. Howard. IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2016. In Press. [ bib ] | |
| Learning predictive movement models from fabric-mounted wearable sensors. B. Michael and M. Howard. IEEE Trans. Neural Sys. & Rehab. Eng., 2016. In Press. [ bib ] | |
| Designing embroidered electrodes for wearable surface electromyography. A. Shafti, R. B. R. Manero, A. M. Borg, K. Althoefer, and M. Howard. IEEE Int. Conf. Robotics & Automation, 2016. In Press. [ bib ] | |
2015 |
Learning null space projections. H.-C. Lin, M. Howard, and S. Vijayakumar. IEEE Int. Conf. Robotics & Automation, 2015. [ pdf | bib ] |
2014 |
A novel approach for representing and generalising periodic gaits. H.-C. Lin, M. Howard, and S. Vijayakumar. Robotica, 32:1225-1244, 12 2014. [ bib | DOI | http ] |
| Generalising walking gaits across subjects and walking speeds. H.-C. Lin, M. Howard, and S. Vijayakumar. IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014. [ bib ] | |
| Eliminating motion artifacts from fabric-mounted wearable sensors. B. Michael and M. Howard. IEEE Int. Conf. Humanoid Robots, 2014. [ pdf | bib ] | |
| Internal impedance control helps information gain in embodied perception. N. Sornkarn, M. Howard, and T. Nanayakkara. IEEE Int. Conf. Robotics & Automation, 2014. [ pdf | bib ] | |
2013 |
Transferring human impedance behavior to heterogeneous variable impedance actuators. M. Howard, D. Braun, and S. Vijayakumar. IEEE Transactions on Robotics, 29(4):847-862, 2013. [ pdf | bib | DOI | http ] |
| Locally weighted least squares policy iteration for model-free learning in uncertain environments. M. Howard and Y. Nakamura. IEEE Int. Conf. Intel. Robots & Sys., 2013. [ pdf | bib ] | |
| Locally weighted least squares temporal difference learning. M. Howard and Y. Nakamura. Euro. Symp. Art. Neural Networks, 2013. [ pdf | bib ] | |
2012 |
Optimal variable stiffness control: Formulation and application to explosive movement tasks. D. Braun, M. Howard, and S. Vijayakumar. Autonomous Robots, 33:237-253, 2012. [ bib | DOI | http ] |
| Exploiting variable physical damping in rapid movement tasks. A. Radulescu, M. Howard, D. Braun, and S. Vijayakumar.IEEE/ASME Int. Conf. Adv. Intel. Mechatronics, 2012. [ pdf | bib ] | |
2011 |
Exploiting variable stiffness in explosive movement tasks. D. Braun, M. Howard, and S. Vijayakumar. Robotics: Science & Sys., Los Angeles, CA, USA, June 2011. [ pdf | bib ] |
| Constraint-based equilibrium and stiffness control of variable stiffness actuators. M. Howard, D. Braun, and S. Vijayakumar. IEEE Int. Conf. Robotics & Automation, 2011. [ pdf | bib ] | |
| Model-free apprenticeship learning for transfer of human impedance behaviour. T. Mori, M. Howard, and S. Vijayakumar. IEEE Int. Conf. Humanoid Robots, 2011. [ pdf | bib ] | |
2010 |
Using dimensionality reduction to exploit constraints in reinforcement learning. S. Bitzer, M. Howard, and S. Vijayakumar. IEEE Int. Conf. Intel. Robots & Sys., 2010. [ video | pdf | bib ] |
| Transferring impedance control strategies between heterogeneous systems via apprenticeship learning. M. Howard, D. Mitrovic, and S. Vijayakumar. IEEE Int. Conf. Humanoid Robots, 2010. [ video | pdf | bib ] | |
| Exploiting sensorimotor stochasticity for learning control of variable impedance actuators. D. Mitrovic, S. Klanke, M. Howard, and S. Vijayakumar. IEEE Int. Conf. Humanoid Robots, 2010. [ pdf | bib ] | |
| Learning null space policies. C. Towell, M. Howard, and S. Vijayakumar. IEEE Int. Conf. Intel. Robots & Sys., 2010. [ video | pdf | bib ] | |
2009 |
Methods for learning control policies from variable-constraint demonstrations. M. Howard, S. Klanke, M. Gienger, C. Goerick, and S. Vijayakumar. From Motor to Interaction Learning in Robots. Springer, 2009. [ pdf | bib ] |
| A novel method for learning policies from variable constraint data. M. Howard, S. Klanke, M. Gienger, C. Goerick, and S. Vijayakumar. Autonomous Robots, 27:105-121, 2009. [ video | pdf | bib | DOI | http ] | |
| Robust constraint-consistent learning. M. Howard, S. Klanke, M. Gienger, C. Goerick, and S. Vijayakumar. IEEE Int. Conf. Intel. Robots & Sys., 2009. [ pdf | bib | DOI ] | |
| Learning control policies from constrained motion. M. Howard. University of Edinburgh, 2009. [ pdf | bib ] | |
| A novel method for learning policies from constrained motion. M. Howard, S. Klanke, M. Gienger, C. Goerick, and S. Vijayakumar. IEEE Int. Conf. Robotics & Automation, 2009. [ pdf | bib ] | |
| Planning and moving in dynamic environments: A statistical machine learning approach. S. Vijayakumar, M. Toussaint, G. Petkos, and M. Howard. Sendhoff, Koerner, Sporns, Ritter, and Doya, eds., Creating Brain Like Intelligence: From Principles to Complex Intelligent Systems, vol. 5436 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 2009. [ pdf | bib ] | |
2008 |
Behaviour generation in humanoids by learning potential-based policies from constrained motion. M. Howard, S. Klanke, M. Gienger, C. Goerick, and S. Vijayakumar. Appl. Bionics & Biomechanics, 5(4):195-211, Dec. 2008. [ video | pdf | bib | DOI | http ] |
| Learning potential-based policies from constrained motion. M. Howard, S. Klanke, M. Gienger, C. Goerick, and S. Vijayakumar. IEEE Int. Conf. Humanoid Robots, 2008. [ pdf | bib ] | |
2007 |
Reconstructing null-space policies subject to dynamic task constraints in redundant manipulators. M. Howard and S. Vijayakumar. Workshop on Robotics and Mathematics, September 2007. [ pdf | bib ] |
2006 |
Learning utility surfaces for movement selection. M. Howard, M. Gienger, C. Goerick, and S. Vijayakumar. IEEE International Conference on Robotics and Biomimetics, 2006. [ pdf | bib ] |